AI DEBATE 2
AI DEBATE 2
MONTREAL.AI Debates Series
AI Debate - YouTube : https://youtu.be/VOI3Bb3p4GM
Moving AI Forward: An Interdisciplinary Approach
Wed, December 23, 2020 | 4:00 PM - 7:00 PM EST
Moderator and co-organizer (with Vincent Boucher): Gary Marcus
Confirmed speakers: Ryan Calo, Yejin Choi, Daniel Kahneman, Celeste Kidd, Christof Koch, Luis Lamb, Fei-Fei Li, Adam Marblestone, Margaret Mitchell, Robert Osazuwa Ness, Judea Pearl, Francesca Rossi, Ken Stanley, Rich Sutton, Doris Tsao, Barbara Tversky and more TBA
Schedule
Panel 1: "Architecture and Challenges"
Yejin Choi, Luis Lamb, Fei-Fei Li, Robert Ness, Judea Pearl, Ken Stanley and Rich Sutton
Panel 2: "Insights from Neuroscience and Psychology"
Danny Kahneman, Christof Koch, Adam Marblestone, Doris Tsao and Barbara Tversky
Panel 3: "Towards AI we Can Trust"
Ryan Calo, Celeste Kidd, Margaret Mitchell and Francesca Rossi
Final Words, Readings, Slides and Relevant Materials
"It takes a village to raise an AI that's ethical, robust, and trustworthy" - Gary Marcus
Ryan Calo
Remark
*Ryan Calo's Remark at AI DEBATE 2: Artificial Intelligence Policy: Not Just A Matter of Principles, Ryan Calo, 2020: https://youtu.be/XoYYpLIoxf0
Yejin Choi
Remark
*Yejin Choi's Remark at AI DEBATE 2: Commonsense AI: Cracking the Longstanding Challenge in AI, Yejin Choi, 2020: https://youtu.be/fs80dg6hE3U
Daniel Kahneman
Remark
*Daniel Kahneman's Remark at AI DEBATE 2: System 1 is not non-symbolic, Daniel Kahneman, 2020: https://youtu.be/2zNd69ZGZ8o
Celeste Kidd
Remark
*Celeste Kidd's Remark at AI DEBATE 2: Profound impacts of AI (and its biases) on human beliefs, Celeste Kidd, 2020: https://youtu.be/chrGgpTVH2g
Christof Koch
Remark
*Christof Koch's Remark at AI DEBATE 2: Don’t look (anymore) at neuroscience for help with AI, Christof Koch, 2020: https://youtu.be/2KqmX4l4QYc
Luis Lamb
Remark
*Luis Lamb's Remark at AI DEBATE 2: Neurosymbolic AI: The 3rd Wave, Luis Lamb, 2020: https://youtu.be/sQtDoAEvU3Q
Final Words
"The AI Debate #2 hosted a convergence of diverse views on the future of AI.
We need from a technical perspective to integrate machine learning and logical) reasoning to build interpretable and explainable AI systems and technologies. This is in line with systems 1 and 2 of Kahneman: we need to integrate AI schools of thought, which ideally walk hand in hand and thus strengthen science.
We have to improve scientific understanding amongst AI paradigms, so as to build AI that benefits humanity and the planet. The world will need a principled AI education for all, since AI will be the key technology of the next decades, if not of the XXI century." - Luis Lamb
Readings and Relevant Materials
Readings that harmonize with the great AI Debate #2
Neurosymbolic AI: The 3rd Wave, Artur d’Avila Garcez and Luis Lamb, 2020: https://arxiv.org/abs/2012.05876
Thinking Fast and Slow in AI, Booch et al., 2020: https://arxiv.org/abs/2010.06002
Neural-Symbolic Cognitive Reasoning, D'Avila Garcez, Artur S., Lamb, Luís C., Gabbay, Dov, 2009: https://www.springer.com/gp/book/9783540732457
Rebooting AI : Building Artificial Intelligence We Can Trust, Gary Marcus and Ernest Davis, 2019: http://rebooting.ai
Causality, Judea Pearl, 2009 (2nd Edition): http://bayes.cs.ucla.edu/BOOK-2K/
Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World, Leslie Valiant, 2013: https://dl.acm.org/doi/book/10.5555/2536711
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP, Prates et al., 2019: https://ojs.aaai.org//index.php/AAAI/article/view/4399
Learning a SAT Solver from Single-Bit Supervision, Selsam et al., 2019: https://openreview.net/forum?id=HJMC_iA5tm
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective, Lamb et al., 2020: https://www.ijcai.org/Proceedings/2020/679
Thinking, Fast and Slow, Daniel Kahneman, 2011: https://en.wikipedia.org/wiki/Thinking,_Fast_and_Slow
Fei-Fei Li
Remark
*Fei-Fei Li's Remark at AI DEBATE 2: In search of the next AI North Star: a tale of two kittens, Fei-Fei Li, 2020: https://youtu.be/XY1VTLRIsNo
Adam Marblestone
Remark
*Adam Marblestone's Remark at AI DEBATE 2: Leveraging neuro-technology for AI, Adam Marblestone, 2020: https://youtu.be/gLVmky_BD5c
Margaret Mitchell
Remark
*Margaret Mitchell's Remark at AI DEBATE 2: Ethics in the Vision and Language of Artificial Intelligence, Margaret Mitchell, 2020: https://youtu.be/i8LlrhsQ-lQ
Robert Ness
Remark
*Robert Ness's Remark at AI DEBATE 2: Causal Reasoning with (Deep) Probabilistic Programming, Robert Ness, 2020: https://youtu.be/qHOfSoc4Oqc
Judea Pearl
Remark
*Judea Pearl’s Remark at AI DEBATE 2: The Domestication of Causal Reasoning: Cultural and Methodological Implications, Judea Pearl, 2020: https://youtu.be/gJW3nOQ4SEA
What I would have said had I been given six (6), instead of three (3) minutes, Judea Pearl, 2020: http://causality.cs.ucla.edu/blog/index.php/2020/12/28/edited-script-of-j-pearl-talk-at-montreal-ai-debate-2/
Readings and Relevant Materials
The Seven Tools of Causal Inference, Judea Pearl, 2016: https://ucla.in/2HI2yyx (Summary: https://vimeo.com/314324108)
Radical Empiricism and Machine Learning Research, Judea Pearl, 2020: https://ucla.in/32YKcWy
Data versus Science: Contesting the Soul of Data-Scienc, Judea Pearl, 2020: https://ucla.in/3iEDRVo
Francesca Rossi
Remark
*Francesca Rossi’s Remark at AI DEBATE 2: Thinking Fast and Slow in AI: Towards more general and trustworthy AI, Francesca Rossi, 2020: https://youtu.be/XE-WThtchuM
Kenneth O. Stanley
Slides
*Kenneth O. Stanley’s Slides presented at AI DEBATE 2: Open-Endedness, Evolution, and AI, Kenneth O. Stanley, 2020: https://montrealai.github.io/aidebate2/slidesstanley.pdf
Reading
Why Greatness Cannot Be Planned: The Myth of the Objective, Kenneth O. Stanley and Joel Lehman, 2015th Edition: https://www.amazon.com/Why-Greatness-Cannot-Planned-Objective/dp/3319155237
Rich Sutton
Remark
*Rich Sutton's Remark at AI DEBATE 2: Reinforcement Learning is the Computational Theory of Intelligence, Rich Sutton, 2020: https://youtu.be/hcJNFdZit-Q
Doris Tsao
Remark
*Doris Tsao's Remark at AI DEBATE 2: How the brain builds a model of the world: insights from neuro-science, Doris Tsao, 2020: https://youtu.be/FkKUAGSNHlE
Barbara Tversky
Remark
*Barbara Tversky's Remark at AI DEBATE 2: Thinking with the Body and the World, Barbara Tversky, 2020: https://youtu.be/OFRY39ansJc
Press
Leading computer scientists debate the next steps for AI in 2021, By Ben Dickson | January 2, 2021 | VentureBeat: https://venturebeat.com/2021/01/02/leading-computer-scientists-debate-the-next-steps-for-ai-in-2021/
AI Debate 2: Night of a thousand AI scholars, By Tiernan Ray | December 23, 2020 | ZDNet: https://www.zdnet.com/article/ai-debate4-2-night-of-a-thousand-ai-scholars//
‘The Debate of the Next Decade’ – AI Debate 2 Explores AGI and AI Ethics, Reporter: Yuan Yuan | Editor: Michael Sarazen | December 24, 2020 | Synced: https://syncedreview.com/2020/12/24/the-debate-of-the-next-decade-ai-debate-2-explores-agi-and-ai-ethics/
Pre-Readings
Pre-Readings: https://montrealai.github.io/aidebate2/readings.pdf
AI Debate - YouTube : https://youtu.be/VOI3Bb3p4GM