The report follows an intensive 12-month review of nearly 200 global publications including books, academic papers, national reports, think tank studies, research group offerings, company and management consultant pieces and a variety of other sources to create a comprehensive overview of the impact of AI on the professions.
https://cipr.co.uk/CIPR/Our_work/Policy/CIPR_Artificial_Intelligence_in_PR_panel.aspx
The CIPR's Artificial Intelligence (AI) panel has published new research revealing the impact of technology, and specifically AI, on public relations practice. It predicts the impact on skills in the profession in the next five years.
A report on diversity within the UK PR industry.
This research study aims to:
• Create better understanding of the issues and barriers faced by different socio-economic
groups and understand what prevents underrepresented groups from engaging with public
relations
• Suggest potential and workable solutions for employers
• Propose initiatives to be led by professional bodies and other industry leaders
• Raise the issue of social mobility with individual practitioners
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Artificial Intelligence and mobile robotics are transforming businesses and the economy: this deck explores possible futures for companies and workers.
The document is a report by Boston Consulting Group (BCG) and the Indian Institute of Management Ahmedabad (IIMA) on AI adoption in India. It finds that while some Indian companies, particularly in banking, have high AI maturity comparable to global leaders, overall two-thirds of Indian companies surveyed are AI laggards. It notes that AI adoption can significantly boost the Indian economy and companies' profits, but success requires achieving advanced AI maturity across technology, data, processes, people and business transformation. The report provides recommendations to help companies at different maturity levels improve their adoption of AI.
AI Governance and Ethics - Industry StandardsAnsgar Koene
Presentation on the potential for Ethics based Industry Standards to function as vehicle to address socio-technical challenges from AI.
Presentation given at the the 1st Austrian IFIP forum ono "AI and future society".
The CIPR's Artificial Intelligence (AI) panel has published new research revealing the impact of technology, and specifically AI, on public relations practice. It predicts the impact on skills in the profession in the next five years.
A report on diversity within the UK PR industry.
This research study aims to:
• Create better understanding of the issues and barriers faced by different socio-economic
groups and understand what prevents underrepresented groups from engaging with public
relations
• Suggest potential and workable solutions for employers
• Propose initiatives to be led by professional bodies and other industry leaders
• Raise the issue of social mobility with individual practitioners
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Artificial Intelligence and mobile robotics are transforming businesses and the economy: this deck explores possible futures for companies and workers.
The document is a report by Boston Consulting Group (BCG) and the Indian Institute of Management Ahmedabad (IIMA) on AI adoption in India. It finds that while some Indian companies, particularly in banking, have high AI maturity comparable to global leaders, overall two-thirds of Indian companies surveyed are AI laggards. It notes that AI adoption can significantly boost the Indian economy and companies' profits, but success requires achieving advanced AI maturity across technology, data, processes, people and business transformation. The report provides recommendations to help companies at different maturity levels improve their adoption of AI.
AI Governance and Ethics - Industry StandardsAnsgar Koene
Presentation on the potential for Ethics based Industry Standards to function as vehicle to address socio-technical challenges from AI.
Presentation given at the the 1st Austrian IFIP forum ono "AI and future society".
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
The document discusses the ethics of artificial intelligence and outlines both benefits and risks. It begins by introducing speakers on the topic and defining artificial intelligence. It then notes that AI is already used widely to make decisions that affect people's lives. Both benefits of AI like increased precision and risks like job loss requiring retraining are discussed. Concerns are raised by experts like Bill Gates, Elon Musk, and Stephen Hawking about potential existential threats from advanced AI. The document calls for safe and robust AI to avoid negative outcomes through exploration and oversight. It concludes that forward-thinking people are working to address the challenges of ensuring AI is developed and applied responsibly.
A keynote presentation given at the ISBA Digital Strategy and Cybersecurity Conference at the BMA in London on Wednesday 27th March 2019.
The presentation looks at the following areas:
1. What is AI?
2. The Ethics of Ai.
3. AI, Education and the #FutureSchool
4. The threat of AI to Fee-paying Education
Research Applications in Artificial Intelligence and Machine LearningRupesh Gupta
The document provides an overview of a faculty development program on research applications in artificial intelligence and machine learning. It discusses the history of AI, the current status of AI applications in industries like healthcare, aviation, education, finance, and heavy industry. It also outlines the building blocks of AI and different types of machine learning models.
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
This document discusses artificial intelligence (AI) and was created by team LIFE-LESS. It includes sections on defining AI, the history of AI development, types of AI like natural language processing, applications in areas such as robotics and virtual assistants, benefits like automating repetitive tasks, challenges regarding job impacts and data privacy, and future trends involving healthcare, sustainability, and integrating AI with IoT. The conclusion is that AI has potential but also requires responsible development given ethical considerations.
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
Presenting this set of slides with name - Artificial Intelligence Overview Powerpoint Presentation Slides. This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with thirtyseven slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Artificial Intelligence Overview Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
This document provides an introduction and overview of artificial intelligence (AI). It discusses the history of AI, including early programs in the 1950s-1960s and advances such as neural networks and deep learning. It defines AI and describes its goals such as reasoning, knowledge representation, planning, natural language processing, perception, and social intelligence. The document outlines two main categories of AI: conventional AI which uses symbolic and statistical methods, and computational intelligence which uses machine learning techniques like neural networks. It gives examples of applications such as pattern recognition, robotics, and game playing. Finally, it discusses related fields where AI is used such as automation, cybernetics, and intelligent control systems.
How To Identify The Best AI Opportunities For Your Business – In 2 Simple Steps Bernard Marr
Artificial Intelligence (AI) is the biggest and most transformative technology trend of our time. Every business, big or small, will have to consider the impact of AI on their organization. Here we look at how you do this in practice.
10 Wonderful Examples Of Using Artificial Intelligence (AI) For Good Bernard Marr
Artificial intelligence is being used in many positive ways to help address societal problems. Some examples discussed in the document include using AI in cancer screening and healthcare decision-making, saving bee populations by analyzing sensor data, creating apps to help people with disabilities, addressing climate change through climate modeling, aiding wildlife conservation efforts, combating world hunger through crop analysis, reducing inequality by correcting algorithmic bias, identifying "fake news", improving medical imaging analysis, and prioritizing infrastructure upgrades.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
Artificial Intelligence refers to the simulation of human intelligence in the machines that are programmed to think like humans and mimic their actions.
AI is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks from the simplest to those that are even more complex.
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.
As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.
AI Everywhere: How Microsoft is Democratizing AIPaul Prae
This document discusses Microsoft's approach to artificial intelligence (AI) and democratizing it. It outlines Microsoft's strategy to develop AI agents, applications, services, and infrastructure. The goal is to harness AI to change how people interact with technology and infuse intelligence into every application. Microsoft aims to make powerful AI capabilities available to all developers to solve challenges and create new experiences through human-machine collaboration.
The document discusses artificial intelligence and provides an overview of key topics including:
- A brief history of AI beginning with the 1956 Dartmouth conference where the field was first proposed.
- Types of AI such as artificial weak intelligence, artificial hybrid intelligence, and artificial strong intelligence.
- Applications of AI such as computer vision, machine translation, and robotics.
- Progress in deep learning including speech recognition, computer vision, and machine translation.
- Demos of AI services including a cognitive race between AWS and Azure and using an AWS bot with Lex.
Artificial Intelligence is referred to as machine intelligence, and it is rooted in binary codes and mathematical algorithms. It is a testament to human creativity and is capable of massive data processing, pattern recognition, and even self-learning. However, the realm of AI realm is confined.
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
The AI Index Report 2023 provides the following key highlights from its research and development chapter:
1. The US and China have the most cross-country AI research collaborations, though the rate of growth has slowed in recent years.
2. Global AI research output has more than doubled since 2010, led by areas like machine learning, computer vision and pattern recognition.
3. China now leads in total AI research publications, while the US still leads in conference and repository citations but these leads are decreasing.
4. Industry now produces far more significant AI models than academia, as building state-of-the-art systems requires greater resources that industry can provide.
5. Large language models
The document discusses artificial intelligence (AI) and provides definitions, a timeline of important developments, opportunities and challenges of AI, and examples of areas where AI is used. It defines AI as simulating human intelligence through machine learning, using experience to draw conclusions, and working independently. The document outlines key areas of AI application like robotics, machine translation, and image analysis. It also discusses deep learning and machine learning, defining them as systems that can learn autonomously from data.
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Adelyn Zhou
This is a preview of the full book on Applied Artificial Intelligence. For details and more content, visit www.topbots.com/appliedai.
“Artificial intelligence” is the buzz word of the day. You’ve no doubt read your fair share of media hype either proclaiming doom and gloom where robots seize our jobs or prophesying a new utopia where AI cures all our human problems.
The reality is somewhere in between. Unless you work in the field, you may be wondering how AI is used, or even what “AI” really is. Using concrete examples and engaging storytelling, our book Applied Artificial Intelligence helps you understand how these powerful emerging technologies can be used in your own life and work.
From movie recommendations on Netflix, to partner suggestions on dating apps, AI and machine learning already impact your daily life. Even the routes you choose to commute to work and which friends’ posts you see on Facebook or Twitter are heavily governed by sophisticated algorithms. But machine intelligence isn’t just for consumers. In industries ranging from energy and manufacturing, to gaming and retail, to marketing and healthcare, the leading companies in the world are leveraging AI for a competitive edge.
This is a preview of the full book to come. Follow for more details at www.topbots.com/appliedai.
Artificial intelligence (AI) refers to a constellation of technologies, including machine learning, perception, reasoning, and natural language processing. While the field has been pursuing principles and applications for over 65 years, recent advances, uses, and attendant public excitement have returned it to the spotlight. The impact of early AI 1 systems is already being felt, bringing with it challenges and opportunities, and laying the foundation on which future advances in AI will be integrated into social and economic domains. The potential wide-ranging impact make it necessary to look carefully at the ways in which these technologies are being applied now, whom they’re benefiting, and how they’re structuring our social, economic, and interpersonal lives.
Advances in Artificial Intelligence Research.docxBikashSubedi20
This document provides an overview of recent advancements in artificial intelligence research across multiple domains. It discusses developments in machine learning, healthcare applications of AI, autonomous systems, and the use of AI in finance. The document also examines important issues like ethics, human-AI collaboration, and future challenges. Key areas of progress include breakthroughs in deep learning, medical image analysis, self-driving cars, and algorithmic trading. Ensuring responsible development and addressing concerns around bias, transparency, and jobs are highlighted as important considerations for the field.
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
The document discusses the ethics of artificial intelligence and outlines both benefits and risks. It begins by introducing speakers on the topic and defining artificial intelligence. It then notes that AI is already used widely to make decisions that affect people's lives. Both benefits of AI like increased precision and risks like job loss requiring retraining are discussed. Concerns are raised by experts like Bill Gates, Elon Musk, and Stephen Hawking about potential existential threats from advanced AI. The document calls for safe and robust AI to avoid negative outcomes through exploration and oversight. It concludes that forward-thinking people are working to address the challenges of ensuring AI is developed and applied responsibly.
A keynote presentation given at the ISBA Digital Strategy and Cybersecurity Conference at the BMA in London on Wednesday 27th March 2019.
The presentation looks at the following areas:
1. What is AI?
2. The Ethics of Ai.
3. AI, Education and the #FutureSchool
4. The threat of AI to Fee-paying Education
Research Applications in Artificial Intelligence and Machine LearningRupesh Gupta
The document provides an overview of a faculty development program on research applications in artificial intelligence and machine learning. It discusses the history of AI, the current status of AI applications in industries like healthcare, aviation, education, finance, and heavy industry. It also outlines the building blocks of AI and different types of machine learning models.
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
This document discusses artificial intelligence (AI) and was created by team LIFE-LESS. It includes sections on defining AI, the history of AI development, types of AI like natural language processing, applications in areas such as robotics and virtual assistants, benefits like automating repetitive tasks, challenges regarding job impacts and data privacy, and future trends involving healthcare, sustainability, and integrating AI with IoT. The conclusion is that AI has potential but also requires responsible development given ethical considerations.
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
Presenting this set of slides with name - Artificial Intelligence Overview Powerpoint Presentation Slides. This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with thirtyseven slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Artificial Intelligence Overview Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
This document provides an introduction and overview of artificial intelligence (AI). It discusses the history of AI, including early programs in the 1950s-1960s and advances such as neural networks and deep learning. It defines AI and describes its goals such as reasoning, knowledge representation, planning, natural language processing, perception, and social intelligence. The document outlines two main categories of AI: conventional AI which uses symbolic and statistical methods, and computational intelligence which uses machine learning techniques like neural networks. It gives examples of applications such as pattern recognition, robotics, and game playing. Finally, it discusses related fields where AI is used such as automation, cybernetics, and intelligent control systems.
How To Identify The Best AI Opportunities For Your Business – In 2 Simple Steps Bernard Marr
Artificial Intelligence (AI) is the biggest and most transformative technology trend of our time. Every business, big or small, will have to consider the impact of AI on their organization. Here we look at how you do this in practice.
10 Wonderful Examples Of Using Artificial Intelligence (AI) For Good Bernard Marr
Artificial intelligence is being used in many positive ways to help address societal problems. Some examples discussed in the document include using AI in cancer screening and healthcare decision-making, saving bee populations by analyzing sensor data, creating apps to help people with disabilities, addressing climate change through climate modeling, aiding wildlife conservation efforts, combating world hunger through crop analysis, reducing inequality by correcting algorithmic bias, identifying "fake news", improving medical imaging analysis, and prioritizing infrastructure upgrades.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
Artificial Intelligence refers to the simulation of human intelligence in the machines that are programmed to think like humans and mimic their actions.
AI is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks from the simplest to those that are even more complex.
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.
As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.
AI Everywhere: How Microsoft is Democratizing AIPaul Prae
This document discusses Microsoft's approach to artificial intelligence (AI) and democratizing it. It outlines Microsoft's strategy to develop AI agents, applications, services, and infrastructure. The goal is to harness AI to change how people interact with technology and infuse intelligence into every application. Microsoft aims to make powerful AI capabilities available to all developers to solve challenges and create new experiences through human-machine collaboration.
The document discusses artificial intelligence and provides an overview of key topics including:
- A brief history of AI beginning with the 1956 Dartmouth conference where the field was first proposed.
- Types of AI such as artificial weak intelligence, artificial hybrid intelligence, and artificial strong intelligence.
- Applications of AI such as computer vision, machine translation, and robotics.
- Progress in deep learning including speech recognition, computer vision, and machine translation.
- Demos of AI services including a cognitive race between AWS and Azure and using an AWS bot with Lex.
Artificial Intelligence is referred to as machine intelligence, and it is rooted in binary codes and mathematical algorithms. It is a testament to human creativity and is capable of massive data processing, pattern recognition, and even self-learning. However, the realm of AI realm is confined.
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
The AI Index Report 2023 provides the following key highlights from its research and development chapter:
1. The US and China have the most cross-country AI research collaborations, though the rate of growth has slowed in recent years.
2. Global AI research output has more than doubled since 2010, led by areas like machine learning, computer vision and pattern recognition.
3. China now leads in total AI research publications, while the US still leads in conference and repository citations but these leads are decreasing.
4. Industry now produces far more significant AI models than academia, as building state-of-the-art systems requires greater resources that industry can provide.
5. Large language models
The document discusses artificial intelligence (AI) and provides definitions, a timeline of important developments, opportunities and challenges of AI, and examples of areas where AI is used. It defines AI as simulating human intelligence through machine learning, using experience to draw conclusions, and working independently. The document outlines key areas of AI application like robotics, machine translation, and image analysis. It also discusses deep learning and machine learning, defining them as systems that can learn autonomously from data.
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Adelyn Zhou
This is a preview of the full book on Applied Artificial Intelligence. For details and more content, visit www.topbots.com/appliedai.
“Artificial intelligence” is the buzz word of the day. You’ve no doubt read your fair share of media hype either proclaiming doom and gloom where robots seize our jobs or prophesying a new utopia where AI cures all our human problems.
The reality is somewhere in between. Unless you work in the field, you may be wondering how AI is used, or even what “AI” really is. Using concrete examples and engaging storytelling, our book Applied Artificial Intelligence helps you understand how these powerful emerging technologies can be used in your own life and work.
From movie recommendations on Netflix, to partner suggestions on dating apps, AI and machine learning already impact your daily life. Even the routes you choose to commute to work and which friends’ posts you see on Facebook or Twitter are heavily governed by sophisticated algorithms. But machine intelligence isn’t just for consumers. In industries ranging from energy and manufacturing, to gaming and retail, to marketing and healthcare, the leading companies in the world are leveraging AI for a competitive edge.
This is a preview of the full book to come. Follow for more details at www.topbots.com/appliedai.
Artificial intelligence (AI) refers to a constellation of technologies, including machine learning, perception, reasoning, and natural language processing. While the field has been pursuing principles and applications for over 65 years, recent advances, uses, and attendant public excitement have returned it to the spotlight. The impact of early AI 1 systems is already being felt, bringing with it challenges and opportunities, and laying the foundation on which future advances in AI will be integrated into social and economic domains. The potential wide-ranging impact make it necessary to look carefully at the ways in which these technologies are being applied now, whom they’re benefiting, and how they’re structuring our social, economic, and interpersonal lives.
Advances in Artificial Intelligence Research.docxBikashSubedi20
This document provides an overview of recent advancements in artificial intelligence research across multiple domains. It discusses developments in machine learning, healthcare applications of AI, autonomous systems, and the use of AI in finance. The document also examines important issues like ethics, human-AI collaboration, and future challenges. Key areas of progress include breakthroughs in deep learning, medical image analysis, self-driving cars, and algorithmic trading. Ensuring responsible development and addressing concerns around bias, transparency, and jobs are highlighted as important considerations for the field.
In your paper,identify the societies you will compare and contsherni1
The document provides guidance for a final project paper, instructing the reader to identify two societies to compare, select three categories of analysis, develop a preliminary thesis statement, outline three supporting points for the thesis, and create an annotated reference list of at least five sources to use for the project. It gives details on what to include for each section, such as topic sentences explaining similarities and differences between the societies within the chosen categories of analysis and examples from each society, along with the sources that will be used.
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APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMSSteven Wallach
This document introduces two volumes on applications of human-computer interaction (HCI) research in management information systems (MIS). The first volume covers HCI concepts and theories, while this second volume focuses on applications, case studies, and specific contexts. Some areas covered include electronic commerce, collaboration, culture/globalization, training/learning, system development processes, healthcare, and research methodology. The introduction provides context on the interdisciplinary nature of HCI research and its practical applications across many fields.
Aizhan Tursunbayeva: The ethics of people analytics: risks, opportunities and...Edunomica
Aizhan Tursunbayeva: The ethics of people analytics: risks, opportunities and recommendations
People Analytics Conference 2023 Summer
Website: https://pacamp.org
Youtube: https://www.youtube.com/channel/UCeHtPZ_ZLZ-nHFMUCXY81RQ
FB: https://www.facebook.com/pacamporg
The document provides instructions for using slides that introduce generative AI and its use in assessments. The slides are designed as a 1-hour lecture that can be delivered live or circulated asynchronously. Staff should delete instruction slides before using the presentation with students. The AI and You teaching toolkit provides further guidance.
Conclusions – the future of ideologiesJudging ideol.docxmccormicknadine86
Conclusions – the future of ideologies?
Judging ideologies
What is the “best” ideology? Why?
Categories
Change: Reform/Revolution
Authority: Place of Individual/State
Free Will/Volunteerism versus Determinism
Human Nature
Good and/or Evil Competition and/or Cooperation
Equality and Greatest Freedom
Basis of Society (political, gender, religion, economic)
The “beast”/reaction against
Future of ideologies?
Ideologies – social transformation and political development = ongoing cycle?
“End of Ideology” – Endism?
What drives the formation of ideologies?
Democracy – the best?
“Democracy is the worst form of government except all those other forms that have been tried from time to time” Winston Churchill
Future of ideologies? (continued)
Newly Emerging Ideologies
Globalism (globalization = process)
Connectivity/Interconnectedness
Global trends
Identity
Signs
Critiques
Future of ideologies? (continued)
Newly (re) Emerging Ideologies
Localism
Limited Connectivity / Local Identity
Populism
Heywood, p. 291 “”the belief that the instincts and wishes of the people provide the principle legitimate guide to political action”
Authority with “the people” / assumptions about elite
Future of ideologies? (continued)
Trumpism?
Trends
Immigration
Working Class
Divides – rural/urban, conservative/liberal
Increasing polarization
CA3
Naomi Kendal
77
Decide
● What industry/business are you in?
● eg HR, Marketing, Sales, Retail, Software development
● As we move through each topic, you must apply it to your business.
● Research – eg how does my company collect/ store/ analyse Big
Data…
● How does my company use AI, what are the benefits…
● Find case studies from your specific industry and research to back
it up.
● Visualisations to illustrate the meanings – of 3 topics.
● Trends & Recommendations
CA3 Assessment Brief
Module Title: Data & Digital Marketing Analytics
Module Code: B9DM105
Module Leader: MSc in Digital Marketing
Stage (if relevant): 9
Assessment Title: Data: Full report and analysis.
Assessment Number (if relevant): CA 3 of 3
Assessment Type: Project Report
Individual/Group: Individual
Assessment Weighting: 40%
Issue Date: 21/6/19
Hand In Date: 07/8/19
Mode of Submission: Moodle
Details of Assignment brief
You are working in the Big Data Dept. of the ‘Red Cloud’ company – a large
multinational, reporting to the newly appointed CEO.
As she is new to the role, she would like a report (3000 words) explaining the
Information Management strategy of the company.
You should include the following topics in this report:
Data Analytics, Data Collection & Storage and the methods and technologies used in
analysing the Data.
Data Abstraction Layers, Data Warehousing and Data Mining.
The role and benefits of your Big Data Dept prior to a restructure.
She also wants a Data Visualisation to illustrate a relevant Data Set for 3 of the
below headings.
1. Data analytics – ...
This document discusses human rights issues related to artificial intelligence. It begins with definitions of key AI concepts like machine learning, deep learning, and algorithms. It then explains how AI can both help and potentially harm society. The document outlines how various human rights may be impacted by current and future applications of AI, such as privacy and non-discrimination. It concludes with recommendations for stakeholders to address human rights harms through approaches like data protection laws and increased research.
Abortion is one of the most difficult and controversial moral issu.docxannetnash8266
Abortion is one of the most difficult and controversial moral issues we will consider. Listen to both sides, even if it is difficult to do. Both sides have important moral insights, even if ultimately these insights are outweighed by the insights of the other side. The goal of this discussion is not to convince you to accept one position over the other, but to help you to understand both sides. As you consider this difficult issue, it is important to distinguish two questions:
· Is abortion morally wrong?
· Should abortion be illegal?
Choose one of the questions above and argue both sides with supporting evidence. Please write your discussion choice in the title line.
For this paper, you will analyze how foresight, creativity, and innovation are separate, yet interrelated, concepts. To prepare for this assignment, Moonshots for Management" (Hamel, 2009) and "Welcome to a World of Change: Life in the 21st century" (Puccio, et al, 2012) . Also consider the tensions between innovation and creativity addressed in the article "Institutionalizing Ethical Innovation in Organizations: An Integrated Causal Model of Moral Innovation Decision Processes". Use this article as a foundation for evaluating creativity, foresight, and innovation within an ethical model.
Select an organization – it could be your present company or a previous company for which you worked in the past, or an organization in your personal life (professional, fraternal, charitable, social, etc.) – and describe a situation that demonstrates this organization’s foresight, creativity, and innovation within an ethical model. Some examples situations might include the development of a new product or service, a removal of a barrier to productivity, an action to improve employee productivity, a marketing/advertising campaign that induced more sales, a fund raising drive, a membership drive, etc. Your paper should:
1. Provide an analysis of how the organization demonstrated each of these separate concepts (creativity, innovation, and foresight) in an interrelated and ethical way.
2. Next, analyze the specific situation you have presented in light of foresight, creativity, and innovation in one of the following ways:
3. Analyze how the situation you have presented reflects at least three workplace trends discussed by Puccio, et al. (2012) or,
4. Analyze how at least three of the management challenges and goals discussed by Hamel (2009) helped you to understand the situation you presented.
Sources to use for Puccio is https://class.content.laureate.net/ef3bc76fecf4b728238d30d1115dcfe1.pdf. Sources for Hamel is in the other attachment. Please only use these two references. Thank you.
1
Organizational creativity: a systems approach.
By Gerard J. Puccio and John F. Cabra
Excerpted from The Cambridge Handbook of Creativity, 1st Edition by Kaufman, J.; Sternberg, R.
Copyright 2010 by Cambridge University Press. Reprinted by permission of Cambridge University
Press.
Intro.
Abortion is one of the most difficult and controversial moral issu.docxaryan532920
Abortion is one of the most difficult and controversial moral issues we will consider. Listen to both sides, even if it is difficult to do. Both sides have important moral insights, even if ultimately these insights are outweighed by the insights of the other side. The goal of this discussion is not to convince you to accept one position over the other, but to help you to understand both sides. As you consider this difficult issue, it is important to distinguish two questions:
· Is abortion morally wrong?
· Should abortion be illegal?
Choose one of the questions above and argue both sides with supporting evidence. Please write your discussion choice in the title line.
For this paper, you will analyze how foresight, creativity, and innovation are separate, yet interrelated, concepts. To prepare for this assignment, Moonshots for Management" (Hamel, 2009) and "Welcome to a World of Change: Life in the 21st century" (Puccio, et al, 2012) . Also consider the tensions between innovation and creativity addressed in the article "Institutionalizing Ethical Innovation in Organizations: An Integrated Causal Model of Moral Innovation Decision Processes". Use this article as a foundation for evaluating creativity, foresight, and innovation within an ethical model.
Select an organization – it could be your present company or a previous company for which you worked in the past, or an organization in your personal life (professional, fraternal, charitable, social, etc.) – and describe a situation that demonstrates this organization’s foresight, creativity, and innovation within an ethical model. Some examples situations might include the development of a new product or service, a removal of a barrier to productivity, an action to improve employee productivity, a marketing/advertising campaign that induced more sales, a fund raising drive, a membership drive, etc. Your paper should:
1. Provide an analysis of how the organization demonstrated each of these separate concepts (creativity, innovation, and foresight) in an interrelated and ethical way.
2. Next, analyze the specific situation you have presented in light of foresight, creativity, and innovation in one of the following ways:
3. Analyze how the situation you have presented reflects at least three workplace trends discussed by Puccio, et al. (2012) or,
4. Analyze how at least three of the management challenges and goals discussed by Hamel (2009) helped you to understand the situation you presented.
Sources to use for Puccio is https://class.content.laureate.net/ef3bc76fecf4b728238d30d1115dcfe1.pdf. Sources for Hamel is in the other attachment. Please only use these two references. Thank you.
1
Organizational creativity: a systems approach.
By Gerard J. Puccio and John F. Cabra
Excerpted from The Cambridge Handbook of Creativity, 1st Edition by Kaufman, J.; Sternberg, R.
Copyright 2010 by Cambridge University Press. Reprinted by permission of Cambridge University
Press.
Intro.
Paper A Application of a decision making framework to an IT-related.docxdunnramage
Paper A: Application of a decision making framework to an IT-related ethical issue.
For this assignment, you are given an opportunity to explore and apply a decision making framework to an IT-related ethical issue.
A framework provides a methodical and systematic approach for decision making
.
UMUC
Module 2 - Methods of Ethical Analysis (see LEO Content – Readings for week 2)
describes three structured frameworks that may be used for ethical analysis, namely
Reynolds Seven-Step Approach, Kidder’s Nine Steps, and Spinello’s Seven-Step Process
.
There are several ways described in UMUC Module 2 to systematically approach an ethical dilemma
, and while each of the frameworks described has its merits, each will result in an ethical decision if straightforwardly and honestly applied.
In addition, you will want to consider the ethical theories described in
Module 1 – Introduction to Theoretical Ethical Frameworks (see LEO Content – Readings for week 1)
which help decision makers find the right balance concerning the acceptability of and justification for their actions. A separate write-up of the ethical theory that supports your decision is part of the following requirements.
For this paper, the following elements must be addressed:
Describe a current IT-related ethical issue
:
Since this is a paper exercise, not a real-time situation,
you may want to construct a brief scenario
where this issue comes into play, and thus causes an ethical dilemma. The dilemma may affect you, your family, your job, or your company; or it may be a matter of public policy or law that affects the general populace.
See the list below for a list of suggested issues, which may be a source of ethical dilemmas
.
Define a concise problem statement
that is
extracted
from the above description or scenario. It is best
if you define a specific problem caused by the dilemma, that needs a specific ethical decision to be made, that will solve the dilemma
. Be aware that if it is a matter of public policy or law, that it may require a regulatory body or congressional approval to take action to implement a solution.
Analyze your problem
using one of the structured decision-making frameworks chosen from Module 2.
Make sure that you identify the decision-making framework utilized. In addition, the steps in the decision-making framework selected must be used as major headings in the Analysis section.
Consider and state the impact of the decision that you made
on an individual, an organization, stakeholders, customers suppliers, and the environment, as applicable!
State and discuss the applicable ethical theory
from Module 1
that supports your decision.
Concerning your paper:
Prepare a minimum 3- 5 page, double-spaced paper and submit it to the LEO Assignments Module as an attached Microsoft Word file.
Provide appropriate American Psychological Association (APA) source citations for all sources you use
. In addition to critical thinking and analysis skills, you.
Read 290 Critical Reading as Critical ThinkingOnlineWeek .docxcatheryncouper
Read 290: Critical Reading as Critical Thinking
Online
Week 6
This week you will be taking the quiz covering chapters 1 through 5 from the ARQ text. You will also be taking Exam #1 on Friday. The following checklist should help you to stay organized and focused on your online assignments.
Week 6 – Checklist
1. View the Week 6 video announcement or Read the Week 6 announcement to get an overview of this week’s assignments.
2. Take the quiz on Chapters 1 through 5 in the ARQ text. The quiz consists of 25 multiple choice and true/false questions. It should not take more than 1 hour to complete. The quiz is due by Wednesday at 11:59pm.
3. Prepare for Exam #1 by completing the following steps:
a) Read the article “It’s a Job for Parents, Not the Government”
b) View the Exam 1 – Sample Analysis Presentation
4. Take Exam #1. The exam will be available from 12:00am until 11:55pm on Friday. You will have 2 hours to complete the exam. You will need to complete the following steps:
a) Read the Exam 1 Article
b) Analyze the article by completing the Exam 1 Worksheet
c) Access and complete the Exam. Use your worksheet to answer the questions about the article. Then submit your exam.
d) Submit your worksheet using the link provided in the week 6 section of TITANium. You must submit your worksheet to get credit for this exam.
Good luck!
Week Seven: Managing Knowledge
Information Resource Management
IT620
February 22, 2014
Running head: MANAGING KNOWLEDGE 1
MANAGING KNOWLEDGE 3
MANAGING KNOWLEDGE 2
Managing Knowledge
Chapter 14: Question 3. How do human capital, structural capital, and customer capital differ?
ANSWER.
Human capital, structural capital and customer capital are three basic fundamentals of any organization. They differ in their roles playing for that organization. Human capital is the efficiency of a human being on the basis of its skills; more the human is skilled and efficient results in more human capital. On the structural capital is the efficiency of the organizations to provide environment in which they can increase the efficiencies of humans working for them such as data, systems, knowledge and designs. The customer capital is the relationship bond with organization products, stronger the bond between the customer and the products results in a stronger customer capital.
Chapter 14: Question 8. What approach did the energy company take to encourage knowledge sharing among its 15 business units?
ANSWER.
The approach that the energy company took to encourage sharing among its 15 business units was establishing peer groups from various units. The idea was to have employees share his or her knowledge without the involvement of leadership to avoid political aspects. Since this was unsuccessful it was decided to provide a human portal for employees where they can ask questions regarding the problems they faced with their customers and employees from other business units provides a solution to them, its kind ...
A REVIEW OF THE ETHICS OF ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN THE...IJCI JOURNAL
This study is focused on the ethics of Artificial Intelligence and its application in the United States, the
paper highlights the impact AI has in every sector of the US economy and multiple facets of the
technological space and the resultant effect on entities spanning businesses, government, academia, and
civil society. There is a need for ethical considerations as these entities are beginning to depend on AI for
delivering various crucial tasks, which immensely influence their operations, decision-making, and
interactions with each other. The adoption of ethical principles, guidelines, and standards of work is
therefore required throughout the entire process of AI development, deployment, and usage to ensure
responsible and ethical AI practices. Our discussion explores eleven fundamental 'ethical principles'
structured as overarching themes. These encompass Transparency, Justice, Fairness, Equity, NonMaleficence, Responsibility, Accountability, Privacy, Beneficence, Freedom, Autonomy, Trust, Dignity,
Sustainability, and Solidarity. These principles collectively serve as a guiding framework, directing the
ethical path for the responsible development, deployment, and utilization of artificial intelligence (AI)
technologies across diverse sectors and entities within the United States. The paper also discusses the
revolutionary impact of AI applications, such as Machine Learning, and explores various approaches used
to implement AI ethics. This examination is crucial to address the growing concerns surrounding the
inherent risks associated with the widespread use of artificial intelligence.
India Top5 Information Security Concerns 2013Dinesh O Bareja
Indian Information Security scenario, and the global one too, leaves much to be desired - this report covers concerns about InfoSec in this year. A straightforward document with lots of practical insights about what ails Information and Data Security in Government, Business and Users.
For this assignment, you are given an opportunity to explore and.docxshanaeacklam
For this assignment, you are given an opportunity to explore and apply a decision making framework to analyze an IT-related ethical issue.
A framework provides a methodical and systematic approach for decision making
.
Module 2 - Methods of Ethical Analysis (see LEO Content – Readings in Week 2)
describes three structured frameworks for ethical analysis, namely
Reynolds Seven-Step Approach, Kidder’s Nine Steps, and Spinello’s Seven-Step Process
.
There are several ways described in Module 2 to systematically approach an ethical dilemma
. Each of the frameworks described has its merits, and each will result in an ethical decision if straightforwardly and honestly applied.
In addition, you will want to consider the ethical theories described in
Module 1 – Introduction to Theoretical Ethical Frameworks (see LEO Content – Readings in Week 1)
which help decision makers find the right balance concerning the acceptability of and justification for their actions.
For this paper,
all of the following elements
must be addressed:
Describe
a current IT-related ethical issue:
Since this is a paper exercise, not a real-time situation,
it is best if you construct a brief scenario
where this issue comes into play, and thus causes an ethical dilemma. The dilemma may affect you, your family, your job, or your company; or it may be a matter of public policy or law that affects the general populace.
See the list below for a list of suggested issues, which may be a source of an ethical dilemma
.
It is not necessary to incorporate answers to the companion questions of the list subjects in your paper
– they are only there to define the issue.
Define
a concise and
separate
problem statement
that has been
extracted
from the above description or scenario. It is best
if you define the specific problem caused by the dilemma, that needs a specific ethical decision to be made, that will solve the dilemma
. Be aware that if it is a matter of public policy or law that it may require a regulatory body or congressional approval to take action to implement a solution.
Analyze
your problem using one of the structured decision-making frameworks chosen from Module 2.
Make sure that you identify the decision-making framework utilized. In addition, the steps in the decision-making framework selected must be used as major headings in your analysis, then,
Consider and state the impact of the decision that you made
on an individual, an organization, stakeholders, customers suppliers, and the environment, as applicable, and
State and discuss the applicable ethical theory
from Module 1
that supports your decision.
Concerning your paper:
Prepare a minimum 3- 5 page, double-spaced paper and submit it to the LEO Assignments Module as an attached Microsoft Word file.
Provide appropriate American Psychological Association (APA) reference citations for all sources you use
. In addition to critical thinking and analysis skills, your paper shoul ...
Insights of Engineering Technology and Organizational Leadership on Human Tra...Pablo Villa-Martinez
This document discusses using an interdisciplinary approach to address the complex issue of human trafficking. It proposes examining the problem through the lenses of engineering technology and organizational leadership. Engineering technology could play a role in decreasing the number of people targeted through technology solutions. Organizational leadership is important to ensure citizen safety from the acts, means and purposes of trafficking. The focus question is: how can engineering technology provide an affordable solution, while upholding ethics, to combat traffickers? An interdisciplinary approach is justified as the issue is too broad for a single discipline.
ARTIFICIAL INTELLIGENCE, COGNITIVE TECHNOLOGIES AND DIGITAL LABOREmmanuel Gillain
bring a simple and concise summary of what the cognitive technologies enabling “Digital Labor” mean in order to raise the awareness level amongst the non technical people that care about the technology impacts on business, economy and society.
Here are the key steps for conducting a trade area analysis:
1. Define the trade area. Determine the geographic boundaries that encompass the majority (e.g. 75%+) of a store's customers based on factors like drive time, road networks, geographical barriers. Common trade areas are 5, 10, 15 minute drives.
2. Analyze demographic data. Obtain census data on population, income levels, age distribution, household types etc. within the trade area and compare to national averages. This provides insights into customer base.
3. Examine competitor analysis. Identify and locate any competing stores or brands within the trade area. Analyzing their strengths, weaknesses and customer value propositions helps determine opportunities.
Similar a CIPR 'The Effects of AI on the Professions; A literature repository' (20)
A comprehensive review of AI use within the public relations profession.
At time of writing (February 2023), there’s been a burst of new AI-driven tools, services and use cases with the potential to impact virtually every aspect of the public relations profession.
This report is an attempt to assess the likely rapid progress of AI technology over the next year and the longer-term strategic considerations for all public relations practitioners as a result.
Co-authored by Andrew Bruce Smith and Stephen Waddington, with contributions from Professor Anne Gregory, Jean Valin and Scott Brinker.
In this report, the Institute of Directors (IoD) has joined forces with the Chartered Institute of Public Relations (CIPR) to look at ways in which organisations can best employ public relations to ride market turbulence and ensure they are fit for the future.
You’ll find the results of our recent survey which showcases how UK directors see and use public relations. You’ll also find a raft of practical ways in which your business can utilise PR and each chapter has five top tips to get you started.
The summary of the document is:
1) There have been small improvements in mental health scores for PR professionals, with scores returning to pre-pandemic levels, but high levels of poor mental health persist in the industry.
2) Workload remains a key source of stress for many PR professionals and a barrier to taking time off for mental health issues.
3) Flexible working has benefited many workers' mental wellbeing, but the industry would benefit from continuing to address workload stress and promote a culture where taking time off for mental health is supported.
The successful running of any organisation relies on effective and efficient line manager communication. In autumn 2021, CIPR Inside conducted a deep dive into line manager communication to find out:
• Who supports line manager communication and how important it’s considered to be
• What line managers need in order to communicate effectively
• If effective communication is considered an important leadership skill and business enabler, and whether it is supported as such
For over a decade the Chartered Institute of Public Relations
(CIPR) has conducted industry-wide research exploring issues
and challenges facing the public relations profession.
We use this data to report on trends and provide industry leading insights on topics including where practitioners work, what they do, how much they earn, and much more.
This year’s study provides a focus on how the industry is
adapting to life beyond the pandemic and what this has meant to those working in the profession.
Our guide for Members of Parliament who are approached by lobbyists. This leaflet sets out the standards of acceptable behaviour for professional lobbyists, what you should expect from them if they approach you, and what action you can take if you have concerns.
This 3-sentence summary provides the key highlights from the document:
The document reports on a study examining the growing importance of chartership and continuing professional development (CPD) in the public relations and marketing industries. It finds that while chartership is seen as less respected than roles like engineering or accounting, 40% of chartered practitioners believe the status has improved over the last 10 years. The study also shows that chartered marketers and PR professionals unanimously agree that demonstrating commitment to CPD is crucial for their own development and role.
Our ebook 'Communicating in a Crisis' explores how public relations was successfully used in the pandemic and features case studies from agency, in-house and public sector teams shortlisted in our 2021 Excellence Awards.
This Artificial Intelligence (AI) and Big Data Readiness Report
provides an analysis of a global survey of public relations
practitioners and academics and video/written evidence from
senior practitioners concerning the profession’s knowledge,
skills, adoption of and attitudes towards AI, and to a lesser
extent, Big Data. Its aim is to provide an overview of current AI
understanding and preparedness, but most importantly, provide
pointers to how the profession should equip itself to exploit the
potential and guard against the possible dangers of AI.
This guide is designed to support PR and comms professionals
who might have to deal with this highly sensitive topic. Our ambition is that this guide will support you practically, and help you with your own mental health and wellbeing.
The guide provides practical advice on how to help organisations communicate suicide. It also looks at the wider issue of talking about suicide alongside mental health.
We’ve worked closely with people and organisations affected by
suicide and are grateful to be carrying their voices and experiences as we make recommendations and offer advice.
Much progress has been made in the area of mental health in the last several years; talking about it openly and honestly has become more commonplace, and governments and businesses have recognised that they have a major role to play in helping people look after their mental wellbeing.
The Workplace Mental Wellbeing Audit helps businesses and other organisations understand the mental health of their employees and in turn take steps to help them. This report from the CIPR, PRCA and ICCO surveys 559 PR professionals through their networks, with the aim to understand
specifically the mental wellbeing of those working in the PR and Communications industry, the impact of coronavirus has had and changes over time.
The CIPR's #PRinaPandemic specialist study of the public relations sector authoritatively explores the immediate impact of COVID-19 on the profession, and how it will develop, reflecting on a truly challenging year and what this has meant to those working in the profession.
The Chartered Institute of Public Relations (CIPR) has published its 2020 Annual Report, reflecting on a year like no other; shaped by the global pandemic, focused on supporting the profession and, ultimately, showing the resilience of the public relations community.
This document provides guidance from the Chartered Institute of Public Relations (CIPR) on best practices for public relations professionals engaging with Wikipedia. It discusses Wikipedia's role and policies, the sometimes uneasy relationship between Wikipedia and the PR industry, guidelines for disclosure and engaging respectfully with the Wikipedia community to make edits or resolve disputes. The goal is for PR professionals to understand Wikipedia's operations and adhere to its content and community standards when contributing.
From Comms Professional to CEO’ explores what holds comms people back on their professional journey to leadership positions. The report provides advice for professionals on making the journey to the top based on qualitative research interviews with CEO’s who have a communications background.
The Chartered Institute of Public Relations (CIPR) has published its 2019 Annual Report, celebrating its success in a year which helps define its purpose “more clearly than ever before”.
The report (below) outlines the work of the Institute through the four key areas as outlined in our five-year strategy; leading practice development, building a resilient community, championing lifelong learning, and advocating public relations.
This guide is designed to support communicators in their own work and in their senior management advisory capacity. It outlines some key principles for ethical decision-making, provides practical advice on using the CIPR’s ethical decision-making tree and the Open Data Institute’s data ethics canvas through the use of real-life examples.
CIPR's annual State of the Profession report has, for ten years, explored the trends, issues and challenges facing public relations. It is the largest and most statistically robust investigation of its kind. From skills and salaries to diversity and gender pay, State of the Profession delivers industry-leading data on every aspect of the PR profession.
A new research report published today by the Chartered Institute of Public Relations (CIPR) finds a public relations industry in which BAME practitioners tell of racism, microaggressions and unconscious biases faced, and having to work within an inflexible culture that denies them opportunities and fair progression.
The report - ‘Race in PR: BAME lived experiences in the UK PR industry’ - is calling on senior PR business leaders to take these findings seriously and work to change practices and cultures to “unleash talent and create a fair and equal workplace for all”.
Más de Chartered Institute of Public Relations (20)
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
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Profiles of Iconic Fashion Personalities.pdfTTop Threads
The fashion industry is dynamic and ever-changing, continuously sculpted by trailblazing visionaries who challenge norms and redefine beauty. This document delves into the profiles of some of the most iconic fashion personalities whose impact has left a lasting impression on the industry. From timeless designers to modern-day influencers, each individual has uniquely woven their thread into the rich fabric of fashion history, contributing to its ongoing evolution.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
NIMA2024 | De toegevoegde waarde van DEI en ESG in campagnes | Nathalie Lam |...BBPMedia1
Nathalie zal delen hoe DEI en ESG een fundamentele rol kunnen spelen in je merkstrategie en je de juiste aansluiting kan creëren met je doelgroep. Door middel van voorbeelden en simpele handvatten toont ze hoe dit in jouw organisatie toegepast kan worden.
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....
CIPR 'The Effects of AI on the Professions; A literature repository'
1. This guide is worth 5 CPD points
PROFESSIONAL
DEVELOPMENT
–
cipr.co.uk
The effects
of AI on the
professions:
A Literature Repository
2. This literature repository on Artificial Intelligence
(AI) for public relations and communication
professionals has been compiled by the CIPR’s
#AIinPR Panel and other colleagues with a
passion for the topic who have scoured books,
academic papers, national reports, think tank
studies, research group offerings, company
and management consultant pieces, YouTube,
and a variety of other sources to bring together
what is a comprehensive overview of the impact
that AI has, is and will have on the professions.
The aim is to enable direct access to the
database for readers to become informed about
AI, explore their own interest and stimulate
their curiosity in what is a crucial development,
knowing that they are using definitive sources.
The literature on AI as a whole is huge and burgeoning, but a focus on the professions
has enabled us to look at how it will change the nature of work overall, and specifically
how it will impact on those who offer a professional service either as specialist
consultants or in-house practitioners in public, private and not for profit sectors.
It does not claim to be exhaustive, but every topic that is currently under consideration
about and arising from AI and the professions is covered here. It does not cover popular
practitioner-oriented publications either since this was outside the remit of the research
which was to look at a stable and authoritative base for considering AI and the
professions. Readers of this report are encouraged to read the contemporary popular
journals, blogs and websites since they provide a regular update on topics that are
under consideration at any one time and form a running commentary that should be
engaged with.
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 2
3. The repository, which contains around 170 items, is summarised and accessed
via a Google spreadsheet here. It is organised as a matrix with sources listed
in categories vertically and the content and themes horizontally.
The sources are grouped into 22 categories, starting with major reports, books,
academic articles, articles from major organisations, YouTube videos, and finally
popular magazines and newspapers. Each of the categories is given a specific
colour to help identification and reading.
Looking at the matrix horizontally, the top row lays out a number of headings.
The first column is either the title of the paper and/or the author, categorised
under the various sources outlined above. This is followed by an abstract (if it is
an academic article), a short description/ summary, and the URL if the material
is publicly available, which it is in the vast majority of cases.
Then there follows a series of ten general themes which are of specific relevance to
the professions and which came out of an analysis of all the material. Every article
has been read at least twice by members of the team to identify these themes.
A tick in the relevant columns indicates the themes that each paper covers. Some
papers include more than one theme and in these cases all the relevant columns
are ticked.
Five themes relevant to public relations were also identified and these complete the
content review. It has to be said that the papers relating to public relations were
limited and one which helps to designate us as a profession (ethics) was absent
completely. A nil return is recorded and discussed below. The lack of discussion in
the key literature should serve as a wake-up call to the profession: it is behind the
curve on thinking on the impact of AI and considerable effort needs to be put into
addressing this topic. Others who are ahead, such as management consultants and
the HR profession, are in a good place to poach public relations’ territory and the
opportunity of a lifetime will be lost.
This short overview gives a summary of the key themes, draws some general
conclusions, and recommends some next steps for the profession.
170items
22categories
around
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 3
4. General themes
GROUP 101
1 Overview: the overall impact of AI, including on professional work
This theme covers some of the broad-based opportunities and issues presented by AI
and includes Government and international overview reports (for example, from Australia,
UK, US), think tank and influential NGO pieces and books. These are context-setting
papers which take a broad view and set the stage for what is happening in the
professions. Topics covered embrace AI’s impact on society, politics, economy, the
world of work, issues of governance by society and business, the value-chain beyond
the technology industry, educational responses required, other related technologies
such as drones, autonomous machines and the future for society in an AI world.
There are some major reports here which provide authoritative papers on the topic of
AI and include good definitions and scoping of the field as well as its implications.
2 Impact on specific sectors and professions
The second theme looks at the use, potential application and challenges of AI across
and in a range of specific professions such as sales, legal, medical, healthcare,
accounting, financial services, teaching, administrative, logistics, banking, and asset
and wealth management. The overall view is that where the work is relatively
routinised, even if these are complex routines, there is greater susceptibility to
automation. Legal, accountancy, medicine, logistics, and asset management,
for example, could have significant areas given over to AI driven processes and
decision-making. Those professions that have less routine work and where ‘human
skills’ such as management, social and literacy skills are important (public relations
being one) are seen to be less at risk. The general opinion is that all professions will
have to transform and re-shape themselves for the world of AI to a greater or lesser
extent. Advantages and disadvantages are proposed and the conclusion is that some
professions are profoundly threatened (actuaries for instance), while others will find
that AI enhances their work considerably.
3 Most affected and most secure groups of workers
This theme focuses more deeply on the specifics of whether AI will supplement a
profession, such as adding an intelligent robotic element to a process, or is a decision
augmenting tool (for instance, in medicine, risk analysis), or will make a profession or
parts of it obsolete (for example, parts of accounting and paralegal). While the power
and status of some professions will be threatened, AI is also seen as an advantage
in that some professions will benefit greatly from making the repetitive and routine
elements faster and more accurate while releasing professionals to undertake the
less predictable and human centred areas of work (for example, elements of health
diagnosis with be susceptible to AI, but that will release clinicians to focus on care that
requires judgements to be made on how particular cases should be handled given
the human being they are dealing with). The thrust of this theme is that more highly
educated and professional classes will fare better under AI than those with manual
and more routine jobs. There are also indications that women (in the shorter term)
and ethnic minorities with be affected more than men, although in later waves of AI
advancement, women will do better (see also diversity – theme 10).
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 4
5. 4 AI drives people, or people driving AI
This theme covers two main topics: first, AI will clearly create new types of jobs, some
of which are not yet known. In this case AI will drive the kinds of knowledge, skills,
and behaviours these people in those new areas of work will need. Being technically-
oriented, traditionally men have dominated in these roles, so attention will have to be
paid to the education system. The second topic is a warning that people should remain
in charge of the technology and not yield their own decision-making powers to AI.
Data driven-decisions are only as good as the data upon which they are based and the
plea is to recognise the inherent biases, data gaps, data over-supply and the need to
use judgement when AI driven-decisions are made. One of the questions to be asked
here is ‘just because we know all this, should we act and if so, how should we?’.
5 Ethics
This theme explores the ethical implications of AI and looks at governance, risk, legal
implications and the role for human decision-making. Areas covered include the
power and knowledge imbalance that AI creates between an organisation (company,
government, NGO) who have the resources (financial, technological, human) to use it
and their interactions with individuals and groups who will not have these resources.
This can lead to a situation where individuals and groups (even whole populations) can
be manipulated, possibly without their knowledge. More positively, AI has the potential
to be free of human bias and is capable of making morally independent judgements.
There are also legal and moral implications for the actions of AI, for example, who is
liable if an autonomous car injures someone, or if care advice based on incomplete
information is provided erroneously? or if someone deliberately misuses information?
Is an ethical code needed for autonomous agents? There is also a significant literature
about the human rights of individuals and a rights-based approach to AI.
6 Regulating AI
This theme looks at the boundaries that should be placed around AI including which
decisions should and should not be delegated to it, for example in the legal and
medical professions and in social robotics. Also covered are topics such as the need
for transparency and accountability in algorithms, access to and control of data and
possible regulation of the big technology companies.
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 5
6. 7 AI and related technologies
Theme seven looks at related AI technologies such as surveillance, advanced robotics,
smart classrooms and the implications for a ‘big brother’ culture, crime-fighting and
learning, as well as the implications of emerging technologies such as augmented
and virtual work (HR profession). Concern is expressed about the fact that not
enough thought is going into the implications of AI, linked technologies and future
technological development, for the future of work.
8 Workforce, employment, skills and education
This is a large preoccupation in the literature. How AI will shape current and future
work, what jobs will be lost – mainly lower skilled and requiring less education – and
what new jobs will be created? While there are predictions of large-scale job losses,
there is also optimism about the new jobs AI will create. These will require new skillsets
which are not being geared up for rapidly enough. The key concern is about how the
transition to new forms of work will be handled and the huge task of how re-training
the workforce on an industrial and national scale will be tackled. There are implications
for national workforce and educational strategies as well as tactical implication such
as the need to learn social robotics. The professions too will need to consider how to
prepare entrants to the professions and what they will do, given that entrants often
undertake the routinised work that is most susceptible to AI. There are also concerns
about what to do about those who will be left behind as jobs and skills change and the
social and political implications of this.
9 Country based studies
This theme focuses on the impact and implications of AI for specific countries.
Those in the western and already technologically advanced world, for example, UK,
US, Australia, China and India will have to go through a period of transition, but are
well placed to capitalise on the new opportunities presented. Other countries,
such as in parts of Africa and Latin America, are not well placed. There are issues of
global significance in creating a technologically divided world.
10 Diversity and other impacts
Theme 10 examines the impact of AI on different groups including the differential
impacts by gender, colour, social class, age and the biases inbuilt in algorithms which
replicate existing biases in society. This section also covers the spiritual aspects of AI,
such as the Buddhist perspective and its implications on the nature of what it means
to be human.
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 6
7. Public relations themes
GROUP 202
As mentioned earlier, the literature on the impact of AI specifically on the public
relations/ communication profession is relatively thin. However, some themes can be
identified and some of the topics covered more generally in the broader literature
have specific application to our profession.
A AI and the human dimension
This looks at the interface between AI and humans and covers areas such as robots
and humans working as teams, AI in social communication systems thus far being
goal-oriented rather than focussed on building emotional relationships (even though
they simulate human characteristics), the role of leaders when AI is involved in decision-
making, impact on call centre staff and the unequal distribution of opportunities and
risks among different workers.
B Customer/stakeholder experience
Theme B examines risk management for high-value customers and regulators, using AI
for point of sale, crisis management, in the public sector to drive citizen outcomes, for
fundraising and in the immediate analysis of customer experience. Also explored is the
use of data, predictive analytics and AI and how it is changing the marketing landscape.
C Specific AI technologies
This theme covers replacement of public relations practitioners by AI, use of AI for
media selection, use of intelligent personal assistants for assisting with office tasks,
use of AI in HR with good parallels to public relations on preparing organisations
for change, future leadership and over/under reliance on machines/humans, impact
on workforce and transition issues. Also explored are digital asset management,
use of unstructured data and data security within a regulated environment and
content curation.
D Public relations ethics
Interestingly there is nothing specific under the public relations ethics theme, but all the
articles under general Theme 5 can also apply. This theme is highlighted for its lack of
coverage, but its importance.
E Future of the profession
Looks at the future of the profession and of professional work, not just from a task
automation perspective, but at roles such as counselling and leadership in an AI world.
Evidence indicates that public relations is less at risk than other professions for job
losses in the longer-term, although tasks performed by public relations professionals
will be affected significantly initially. There is an interesting perspective on how the
economic landscape will morph over time into new large-scale, cross-sector eco-systems.
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 7
8. Conclusions from the
review of the literature03
A number of conclusions can be drawn from this repository on the effects of AI on
professions and on public relations specifically.
• There will be significant and lasting threat on professional skills because they are often
based on closed systems of knowledge and routine and comprise many repetitive
tasks which, until now, have been successfully claimed as exclusively the domain of a
particular profession. For example, case law and public relations crisis management
handling are key areas of work for the legal and public relations professions. AI can
analyse cases more quickly and accurately than human beings and the routinised
approach to handling both can be quickly mastered by AI. There has been no
systematic study of the potential for AI taking over public relations work, apart from
the one undertaken by the #AIinPR panel study of 2018 – ‘Humans Still Needed’ –
accessible via this link.
• There will be major impacts on the professional workforce, and these are the
subject of advanced consideration by a number of professions. Again, there is only
one systematic study in this repository examining the effect on the public relations
workforce undertaken by the Institute for Public Relations.
• There are issues about the impact of AI on specific work groups: women, ethnic
minorities, those who have lesser qualifications and undertake routine work, and
entrants to the professions, including public relations.
• There are key ethical issues around the nature of the power and knowledge balance
for those using AI, issues concerning the algorithms used and the lack of transparency
within ‘the black box’ and their inherent biases. Rules surrounding governance and
use of AI need to be established so that we do not enter a world of algorithmic
determinism, or a world where the big technology companies are able to wield
disproportionate power. Public relations has a key role to play in shaping governance
both in society and within organisations given its multi-stakeholder perspective and
commitment to ethical behaviour.
• The public relations profession is behind in thinking about all the issues outlined above.
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 8
9. Recommendations for the
public relations profession04
It is clear from the foregoing that the public relations profession needs to undertake a
systematic review of the current and future use of AI and its impact on the profession.
Specifically, the following is required:
• an overview impact study of AI and the public relations profession.
• a thorough examination of workforce issues including existing and new careers in
public relations, transition issues for the existing workforce, consideration of entry
level professionals and their potential career paths. The examination will also include
consideration of issues such as gender, age, social, ethnic and cultural bias.
• a review of education and training courses that will equip current and future
professionals for the work landscape of the 2020s and beyond.
• a study of the ethical implications of AI in the profession, both for those using AI,
the subjects of that use, and the ethical safeguards that should be put in place
for non-human agents.
• a consideration of the organisational and societal role that public relations
professionals will have in the future.
The graphic below indicates the key demands on the profession.
Societal and
organisational role
Future Professionals
Existing workforce
New entrants
Transition
Education & training
Complexity
Rate of change
Amount of change
Ethics and Governance
Initiators and receivers of AI
mediated comms
Ethics of automated agents
AI
AND THE
PUBLIC
RELATIONS
PROFESSION
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 9
10. This literature repository is more than a source of information. In it is contained the
basis for a detailed and urgent conversation and action about what public relations
needs to do as a profession to prepare itself for a world that is going through the
4th industrial revolution. The profession has some catching up to do and needs to do
this quickly. Indeed, public relations is a profession uniquely placed to play a leadership
role in both the societal and organisational debate about AI. This paper is a plea for us
to do just that.
Report written by:
Professor Anne Gregory, University of Huddersfield
Dr Swati Virmani, De Montfort University
Significant contributors to the repository:
Hana Benesova
Maria Loupa
Kerry Sheehan
Martin Waxman
Chris Dolan
The Effects of Artificial Intelligence on the Professions: A Literature Repository / 10