Artificial Intelligence: Challenges and Opportunities

3,352 views 80 slides Oct 07, 2019
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About This Presentation

Presentation used for the eTwinning PDW - Madeira Island - 4/5 of October 2019.


Slide Content

Artificial Intelligence Challenges and Opportunities (in the age of cognitive machines ) PDW – Madeira – October 2019 Marco Neves [email protected] Agrupamento de Escolas da Batalha

What best represents AI?

Human Framework ( the why )

Universe World Brain “Intelligence” CENTER

Copernicus Darwin Freud Universe World Brain

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

Intelligence(s)

#Intelligence ?

#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.”

QUIZ - AI or not AI! www.wooclap.com/AINOTAI

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

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

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

Impacts

# DigitalTransformation

IoT – 30 billion sensors (2020) Big Data – O ver the last two years have produced 90% data AI – A lgorithmic power 5G + – Nervous System ( hyperconnection ) Quantum Computing – Computational power

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

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

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 ?

Media

https://thispersondoesnotexist.com/

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

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

Education

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

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

Opportunities

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

“ Uber yourself before you get “ Kodak'ed ”

What is the way?

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

# Intelligence(s) # Human # Artificial # Augmented

“ Useless Class ”

New Renaissance Movement Digital Dark Age

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

End