1) The document discusses artificial intelligence (AI) and the challenges and opportunities it presents, focusing on cognitive machines. 2) It explores definitions of intelligence from thinkers like Einstein and Gardner, and discusses early concepts of AI from thinkers like Turing and McCarthy. 3) The document outlines some of the impacts of AI through technologies like the Internet of Things, big data, advanced algorithms, 5G networks, and quantum computing, and how these are changing industries like entertainment, transportation, e-commerce, social media, and hiring.

1. Artificial Intelligence
Challenges and Opportunities
(in the age of cognitive machines)
PDW – Madeira – October 2019
Marco Neves
mbrasneves@gmail.com
Agrupamento de Escolas da Batalha

6. What best represents AI?

7. Human Framework (the why)

8. Universe
World
Brain
“Intelligence”
CENTER

9. Copernicus Darwin Freud
Universe World Brain

10. Alan Turing
Can Machines Think?
A. M. Turing (1950) Computing Machinery and Intelligence. Mind 49: 433-460

12. Intelligence(s)

13. #Intelligence?

14. #Intelligence?
Einstein "The true sign of intelligence is not knowledge
but imagination.”
Gardner “An intelligence is the ability to solve problems,
or to create products, that are valued within one or more
cultural settings” (Múltiplas Inteligências)
Legg and Hutter “Intelligence measures an agent’s ability
to achieve goals in a wide range of environments.”

15. QUIZ-AIornotAI!www.wooclap.com/AINOTAI

27. We’ve trained a large-scale unsupervised
language model which generates coherent
paragraphs of text, achieves state-of-the-art
performance on many language modeling
benchmarks.
Our model, called GPT-2 (a successor to GPT),
was trained simply to predict the next word in
40GB of Internet text.
GPT-2 is a large transformer-based language
model with 1.5 billion parameters, trained on a
dataset.
Auto Text Generation

30. AI?
1956, John McCarthy – “The science and engineering of
making intelligent machines."

34. Ray Kurzweil (last 50 years)
“Thinking about Thinking”
Human 2.0
(2045) Singularity

36. Impacts

37. #DigitalTransformation

39. IoT – 30 billion sensors (2020)
Big Data – Over the last two years have
produced 90% data
AI – Algorithmic power
5G+ – Nervous System (hyperconnection)
Quantum Computing – Computational power

42. What to watch? – Netflix
Master Algorithms (other intelligences?)
Where to go? – Google Maps
What to buy? – Amazon
What information to see? – Facebook
Who to fire? - Uber
With whom to date? - Tinder

47. Here's a thought experiment:
Where do you end? Not your body, but you, the nebulous identity
you think of as your "self."
Does it end at the limits of your physical form? Or does it include
your voice, which can now be heard as far as outer space; your
personal and behavioral data, which is spread out across the
impossibly broad plane known as digital space; and your active
online personas, which probably encompass dozens of different
social media networks, text message conversations, and email
exchanges?
This is a question with no clear answer, and, as the smartphone
grows more and more essential to our daily lives, that border's
only getting blurrier.
https://psmag.com/magazine/the-boundary-between-our-bodies-and-our-tech

48. The (question) Impacts!
We will be challenged by cognitive agents. How to live
side by side with them?
Who (will) control the machines that take decisions
(ethics, bias)?
What models of (re)training and education will be
needed?
Will we need new models of society to integrate the so
called “smart” machines?
Where is the border between the digital ME and the
analogical ME?

49. Media

53. https://thispersondoesnotexist.com/

55. https://www.wired.com/amp-stories/cambridge-analytica-explainer/
https://www.thegreathack.com/

56. We mainly live in a buble?
You see what (you) they
want (you) to see!

57. Education

61. Artificial Intelligence Generation
vs
Cassette Tape Generation
Justin Aglio (2019)

63. Rose Luckin - Professor of Learner Centred Design, UCL Knowledge Lab

65. Opportunities

70. The system reads 100,000
books in half a second (+-
600 million sentences) and
returns the "best" responses
from the semantic research
conducted.

71. “Uber yourself before
you get “Kodak'ed”

72. What is the way?

73. “Our intelligence is what
makes us human, and AI is an
extension of that quality.”
Yann LeCun

74. #Intelligence(s)
#Human #Artificial
#Augmented

76. “Useless Class”

77. New Renaissance
Movement
Digital Dark Age

79. https://edu.readyai.org/courses/aime/

80. End