This document discusses ethics and professionalism in emerging technologies. It addresses topics like integrity, objectivity, competence, confidentiality, and professional behavior. For each topic, it provides examples and discusses pros and cons. For example, it states that integrity in technology can build trust but may increase costs, while objectivity promotes fairness but can lead to indecisiveness. It emphasizes the importance of these principles for responsibly developing and using new technologies.

1. ETHICS AND PROFESSIONALISM
OF EMERGING TECHNOLOGIES
GROUP 4

2. TOPICS:
INTEGRITY
OBJECTIVITY
COMPETENCE AND DUE
CARE
CONFIDENTIALITY
PROFESSIONAL BEHAVIOUR

3. ETHICS AND PROFESSIONALISM
Ethics refers to the moral principles and values
that guide the development and use of new and
innovative technologies.
Professionalism refers to the set of skills,
knowledge, and ethical standards.

4. EXAMPLE
• Artificial Intelligence (AI): AI
systems must be developed and used
in an ethical manner, with
considerations for fairness,
transparency, and accountability.
• Autonomous Vehicles: The
development of autonomous vehicles
raises ethical questions related to
safety, liability, and privacy.

5. INTEGRITY
Integrity refers to the quality of being honest,
trustworthy, and ethical in the development and
use of new and innovative technologies.

6. EXAMPLE
• Authentication refers to the process of
verifying the identity of users or devices
accessing digital resources, such as
websites, applications, or data.
• Trustworthiness: Protect user privacy
and security: Protect user data and
privacy by using Encryption, secure
storage, and access controls. Don't use or
share data without user consent.

7. INTEGRITY PROS AND CONS
PROS:
• Building trust: Demonstrating integrity in emerging
technology can help build trust among stakeholders,
including clients, investors, and regulators. This can lead
to increased adoption and investment in emerging
technologies.
CONS:
• Higher costs: Maintaining integrity in emerging technology
can be expensive, as it often requires additional resources
for testing, monitoring, and compliance.

8. OBJECTIVITY
Objectivity refers to the ability to remain
unbiased and impartial when evaluating and
developing new technologies.

9. EXAMPLE
• A cybersecurity professional testing and
evaluating security measures and tools
impartially, without any biases or
preconceived notions.
• A data analyst presenting data in a clear
and unbiased way, rather than cherry-
picking data to support a preconceived
idea or agenda.

10. OBJECTIVITY PROS AND CONS
PROS:
• Promotes fairness and equality
• Encourages ethical decision-making
• Reduces the likelihood of biased decisions
CONS:
• May be challenging to maintain objectivity in situations
where personal interests or biases are present
• Can lead to indecisiveness or inaction in some situations

11. COMPETENCE AND DUE CARE
Competence refers to the ability to apply
knowledge and skills effectively to solve
problems and achieve objectives in the context
of emerging technologies.
Due care refers to the obligation to take
reasonable steps to ensure that emerging
technologies are developed and used in a
responsible, ethical, and safe manner.

12. EXAMPLE
• A software engineer staying up-to-date
with the latest programming languages
and frameworks to ensure they have
the necessary skills to develop high-
quality software.
• A cybersecurity professional keeping up
with the latest security threats and
vulnerabilities to ensure they can
identify and mitigate risks to the
systems they manage.

13. COMPETENCE AND DUE CARE PROS
AND CONS
Pros:
• Ensures high-quality service to clients or stakeholders
• Promotes safety, security, and effectiveness in the development
and implementation of emerging technologies
Cons:
• Maintaining competence and due care can be time-consuming and
require ongoing training and education
• May be challenging to keep up with the latest developments and
trends in emerging technologies

14. CONFIDENTIALITY
Confidentiality refers to the protection of
sensitive or private information from
unauthorized access or disclosure.

15. EXAMPLE
• Protecting Sensitive Information:
Example, a soft drink company might
keep its recipe confidential so that no one
can copy it or use it to form new ideas.
• Health data privacy: With the increasing
use of wearable devices, health-related
data is being collected and transmitted
more than ever before. Maintaining
confidentiality is crucial to ensure that
sensitive health information is not
accessed by unauthorized parties.

16. CONFIDENTIALITY PROS AND
CONS
Pros:
• Protects User Information: By utilizing confidentiality in emerging
technology, users’ data and information can be kept secure.
• Improves Security: By keeping user data safe and protected, businesses
can ensure that only authorized users can access their systems and data.
Cons:
• Can Be Expensive: Implementing confidentiality in emerging
technology can be costly, as it requires investments in infrastructure,
processes, and resources.

17. PROFESSIONAL BEHAVIOUR
Professional behavior refers to the expected
standards of conduct for professionals working
with new and innovative technologies. It includes
a range of behaviors and attitudes that
contribute to responsible and ethical
development and use of emerging technologies.

18. EXAMPLE
• Effective communication with colleagues
and clients and staying up-to-date on the
latest technology advancements.
• Using appropriate problem-solving skills to
troubleshoot issues. Demonstrating a clear
understanding of the application of the
emerging technology.

19. PROFESSIONAL BEHAVIOUR
PROS AND CONS
Pros:
• Increased accuracy - Automated technologies can reduce errors and
ensure that tasks are completed correctly.
• Improved customer service - Professional behavior can create a more
positive customer experience, leading to increased customer satisfaction
and loyalty.
Cons:
• Privacy risks - With automated systems collecting and processing data,
there is an increased risk of privacy violations and data breaches.