AGI DEBATE: The Pivotal Discussion in Shaping the Path of AGI's Global Discourse

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It takes a village . . .

Five panels of the world's most distinguished researchers and experts on AGI :

Panel 1: Cognition and Neuroscience

Panel 2: Common Sense

Panel 3: Architecture

Panel 4: Ethics and morality

Panel 5: AI: Policy and Net Contribution

Speakers: Erik Brynjolfsson, Yejin Choi, Noam Chomsky, Jeff Clune, David Ferrucci, Artur d'Avila Garcez, Michelle Rempel Garner, Dileep George, Ben Goertzel, Sara Hooker, Anja Kaspersen, Konrad Kording, Kai-Fu Lee, Francesca Rossi, Jürgen Schmidhuber and Angela Sheffield.

Moderator and co-organizer (with Vincent Boucher): Gary Marcus. Gary Marcus is a leading voice in artificial intelligence. Scientist, best-selling author, and entrepreneur, he was Founder and C.E.O. of Geometric Intelligence, a machine-learning company acquired by Uber in 2016. His most recent book, Rebooting AI, co-authored with Ernest Davis, is one of Forbes’s 7 Must Read Books in AI.

Vincent Boucher is President of Montreal.AI and Quebec.AI.

(January 17, 2023) : Readings are being gradually added for each speaker.

AGI Debate on YouTube : https://youtu.be/JGiLz_Jx9uI?t=73

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  1. Opening Address: Vincent Boucher

  2. A Very, Very Brief History Of AI: Gary Marcus

Panel 1: Cognition and Neuroscience

  1. What Cannot Be Achieved By Current Approaches: Noam Chomsky

  2. Four Key Aspects Of Cognition: Gary Marcus

    (1) An epic AI Debate—and why everyone should be at least a little bit worried about AI going into 2023

    https://garymarcus.substack.com/p/an-epic-ai-debateand-why-everyone?sd=pf

    (2) A Skeptical Take on the A.I. Revolution

    https://www.nytimes.com/2023/01/06/opinion/ezra-klein-podcast-gary-marcus.html

    (3) Benchmarking Progress to Infant-Level Physical Reasoning in AI

    https://openreview.net/forum?id=9NjqD9i48M

    (4) The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

    https://arxiv.org/abs/2002.06177

  3. Causality And Meta-Learning: Konrad Kording

  4. Arcs Of AI Progress This Decade: Dileep George

Panel 2: Common Sense

  1. Common Sense: Difficult To Define, Essential To Solve: Gary Marcus

  2. Common Sense: The Dark Matter Of Language And Intelligence: Yejin Choi

    Readings :

    (1) An A.I. Pioneer on What We Should Really Fear. The New York Times.

    https://www.nytimes.com/interactive/2022/12/26/magazine/yejin-choi-interview.html

  3. Common Sense Requires Reasoning And Understanding: David Ferrucci

    Biography :

    Dave Ferrucci is an award-winning Artificial Intelligence researcher who started and led the IBM Watson team from its inception through its landmark Jeopardy success in 2011. Dr. Ferrucci’s more than 25 years in AI and his passion to see computers fluently think, learn, and communicate inspired him to found Elemental Cognition (EC) in 2015. EC’s Hybrid AI combines multiple AI techniques into a novel architecture that delivers expertise in a way that can be understood and trusted. It explores methods of learning that result in explicable models of intelligence and cross-industry applications. EC’s mission is to accelerate and improve the quality and explicability of human decision-making in the face of growing complexity, shortages of accessible expertise, and overwhelming data.

    Dr. Ferrucci graduated from Rensselaer Polytechnic Institute with a Ph.D. in Computer Science and has over 100 patents and publications. He worked at IBM Research, where he was named an IBM Fellow, and at Bridgewater Associates, directing the firm’s AI research. He has keynoted at highly distinguished venues around the world. Dr. Ferrucci serves as a member of the Connecticut Academy of Science and Engineering and is an Adjunct Professor of Management and Organizations at the Kellogg School of Management at Northwestern University.

    “The AGI debate helped crystalize the critical importance of transparency and accuracy in the application of AI-generated content that can influence our understanding of the social, political, scientific, and economic world around us. The global responsibility for AI researchers and practitioners has never been greater.”

    Readings :

    (1) Language Models are Half of the Puzzle

    https://ec.ai/blog/language-models-are-half-of-the-puzzle

  4. Common Sense Requires Mental Simulation: Dileep George

Panel 3: Architecture

  1. Pathways To AGI: Ben Goertzel

  2. Metalearning And Creativity: Jürgen Schmidhuber

    Readings :

    (1) Artificial Curiosity & Creativity Since 1990-91

    https://people.idsia.ch/~juergen/artificial-curiosity-since-1990.html

    (2) Metalearning Machines Learn to Learn (1987-)

    https://people.idsia.ch/~juergen/metalearning.html

    (3) Annotated History of Modern AI and Deep Learning"

    https://arxiv.org/abs/2212.11279

    (4) Jürgen Schmidhuber's AI Blog:

    https://people.idsia.ch/~juergen/blog.html

  3. Thinking fast and slow in AI: Francesca Rossi

    Readings :

    (1) Thinking Fast and Slow in AI

    https://sites.google.com/view/sofai/home

  4. AI-Generating Algorithms: The Fastest Path to AGI: Jeff Clune

  5. The Hardware Lottery: Sarah Hooker

  6. Sustainable AI: Artur Garcez

    (1) A Semantic Framework for Neural-Symbolic Computing. Simon Odense and Artur d'Avila Garcez

    https://arxiv.org/abs/2212.12050

    (2) Neurosymbolic AI: The 3rd Wave. A. d’Avila Garcez and L. Lamb, Dec 2020.

    https://arxiv.org/abs/2012.05876

    (3) Logic Tensor Networks. S. Badreddine, A. d'Avila Garcez, L. Serafini, M. Spranger, AI journal, Dec 2021.

    https://arxiv.org/abs/2012.13635

    (4) Formalizing Consistency and Coherence of Representation Learning. H. Strömfelt, L. Dickens, A. d’Avila Garcez, A. Russo, NeurIPS 2022, Dec 2022.

    (5) A Semantic Framework for Neural-Symbolic Computing, S. Odense and A. d’Avila Garcez. (out soon)

    (6) Webpage: http://www.staff.city.ac.uk/~aag/

Panel 4: Ethics and morality

  1. Government's Future Approach To AI Will Be Shaped By Today's Discourse: Michelle Rempel Garner

    (1) Government + AI = does not compute

    https://michellerempelgarner.substack.com/p/government-ai-does-not-compute

  2. That Thorny Continuum across AI Safety, Equity, And Morality: Yejin Choi

  3. Whose Voices Ought To Be Included In The Discussion?: Anja Kaspersen

  4. Can We And Should We Be Programming Machines To Have Explicit Values: Jeff Clune

  5. Embedding Values and Trust in AI Systems: Francesca Rossi

Panel 5: AI: Policy and Net Contribution

  1. The Turing Trap: Erik Brynjolfsson

  2. Will AI-generated content [AIGC] enable Cambridge Analytica on steroids?: Kai-Fu Lee

  3. Artificial Intelligence and the Future of Defense: Angela Sheffield

Closing Statement: Gary Marcus

Closing Remark: Vincent Boucher