Power and Prediction
Ajay Agrawal
AI + Equality: Creating a future that is more Star Trek than Terminator
Joshua Gans
AI and Inequality
Joshua Gans, Mara Lederman
Precision Public Health
Laura Rosella
Machine Learning From Our Mistakes
Marzyeh Ghassemi
The Materials for Tomorrow, Today
Alán Aspuru-Guzik
Rebooting AI: Building Artificial Intelligence We Can Trust
Gary Marcus
AI Strategy Implementation – Transforming the Enterprise
Eric Lamarre
AI Strategy at Alibaba
Michael Evans
Fireside Chat – AI Strategy at Alibaba
Michael Evans, Ajay Agrawal
Can We Anticipate the Impacts of AI?
Jack Clark
Lightning Round 2019 – Machine Learning and the Market for Intelligence
The Ethical Algorithm
Aaron Roth
The Dangers of AI: Real and Imaginary
Pedro Domingos
AI for Good: What are the Threats?
Pedro Domingos, Aaron Roth, Shivon Zilis
Not Dead Yet: Moore’s Law and the Future of Computers
Jim Keller
Machine Learning and the Market for Intelligence
Tiff Macklem
Not Just Algorithms, Data, and Compute: AI Complements
AI, Innovation, and Economic Growth
Scott Stern
Algorithmic Bias
Anja Lambrecht
Humans vs Machines in Complex Cognitive Tasks: Investing
Ramana Nanda
Worldwide Implementation of Machine Intelligence
Kevin Sneader
AI at Alibaba
AI at Linamar
Linda Hasenfratz
AI and the World Economy
Mark Carney
Dawn of a New Era?
Mark Carney, Michael Evans, Kevin Sneader, Heather Reisman, Linda Hasenfratz, Ajay Agrawal
Annual CDL Awards
Chris Hadfield
AI, Science, and Scaling
Geoffrey West
Brains 2.0
Ramez Naam
AIs in Human-Like Bodies: Virtues and Challenges
Suzanne Gildert
What Kind of AGI are We Moving Towards?
Ben Goertzel
Lightning Round: “Where Are We Headed?”
Shivon Zilis, Jack Clark, Ramez Naam, Suzanne Gildert, Parvin Mousavi, Ben Goertzel, Ruslan Salakhutdinov, Ilya Sutskever, Marzyeh Ghassemi, Geoffrey Hinton
Learning “Healthy” Models in Machine Learning for Health
Recent Advances and New Challenges for AI
Ruslan Salakhutdinov
AI Progress from OpenAI
Ilya Sutskever
On the Nature of Intelligence
Geoffrey Hinton
What’s Next?
Ruslan Salakhutdinov, Ilya Sutskever, Marzyeh Ghassemi, Geoffrey Hinton, Shivon Zilis
Reflections and Looking Ahead
Renato Faria
Conference Welcome Remarks
Tiff Macklem, Sonia Sennik
Time
Recent Advances in Deep Learning
Ruslan Salakhutdinov, Steve Lohr
How Will Machine Intelligence Transform Scientific Discovery?
Elizabeth Caley, Will Knight
Brain Science and AI
Eric Jonas
Solving Intelligence
Doina Precup, Sven Strohband
Conversation: On Intelligent Machines
The Right Honourable Justin Trudeau, Shivon Zilis
Intelligent Machines and the Future of Human Communication
Brad Hoover, Alexandra Suich
Deciphering Cardiac Signals with Machine Learning
Don Crawford, Barney Pell
Humans-In-The-Loop
Lukas Biewald
How We Won the International ACM Recommendation System Challenge 2017
Tomi Poutanen, Lisha Li
Quantum Machine Learning and It’s Discontents
Peter Wittek
Accelerating AI Futures
Steve Jurvetson
Why Are Goals So Central to Intelligence?
Richard Sutton, Steve Jurvetson
AGI and Embodiment
Scott Phoenix
Lightning Round on General Intelligence
Shivon Zilis, Ben Goertzel, Suzanne Gildert, Max Tegmark, Richard Sutton, Scott Phoenix, Gary Marcus, Steve Jurvetson, Alexandra Suich
Realtalk on AI and Business
Michael Chui, Greg Ip
Peter Drucker Meets Machine Intelligence
James Cham
The World After Capital
Albert Wenger, Candice Faktor
Prediction Machines: They’re Good For Business, But Are They Good For People?
Joshua Gans, Walter Frick
If AI is Stuck, Then How Should We Unstick It?
Gary Marcus, Tom Simonite
Super Humans
Sean Gourley, Shivon Zilis
Conference Closing Remarks
Ajay Agrawal, Shivon Zilis
Why Will Machine Intelligence be so Transformational?
Yoshua Bengio, Ruslan Salakhutdinov, Richard Sutton, Geoffrey Hinton
A Future with Intelligent Machines
Kevin Kelly, Jerry Kaplan
AI and Image Data
Raquel Urtasun
AI Landscape
Shivon Zilis, James Cham
Investing in AI
Frank Chen, Arielle Zuckerberg, Bradford Cross, Matt Turck
Radiology
The Declining Cost of Prediction
Crucial Questions for Applying AI
Matt Turck, Barney Pell, Frank Chen, John Francis
New Applications for AI
Anthony Goldbloom, Sabrina Atienza, Sean Gourley, Tomi Poutanen
AI and Healthcare
Brendan Frey, Nicolas Chapados
AI and the Production of Food
Katya Kudashkina, Lee Redden, Diane Wu, Max Bruner
How to Build the Most Responsible AI Future
Tim Hwang, Jack Clark
Integrating AI Acquisitions
Richard Socher, William Tunstall-Pedoe, Lior Ron
Is This Time Different?
Jason Furman, Joshua Gans, Pedro Domingos
Welcome Remarks by His Excellency The Right Honourable David Johnston
Governor General David Johnston
“Humans Need Not Apply” Book Overview
Jerry Kaplan
“Machines of Loving Grace” Book Discussion
Steve Mann
“Machines of Loving Grace” Book Overview
John Markoff
“Superintelligence” Book Discussion
“Superintelligence” Book Overview
Nick Bostrom
“The Master Algorithm” Book Discussion
Barney Pell
“The Master Algorithm” Book Overview
Early Stage Investments in Machine Learning
Zavain Dar, Nick Adams, David Beyer, Adam D’Augelli, James Cham, David Hamilton
Enterprise Applications of Machine Learning
Gary Kazantsev, Jerome Pesenti, Jason Korosec, Mike Del Balso, Ravi Mattu
Google Ventures
Andy Wheeler
Machine Learning Venture Demos
Matthew Zeiler, Richard Socher, Kieran Snyder, Abraham Heifets, Shahram Tafazoli, Derik Pridmore, Kevin Kelly
Machine Learning – The Research Frontier
Ruslan Salakhutdinov, Geoffrey Hinton, Ilya Sutskever, Jack Clark
Neural Nets for Perception and Language Understanding
Textio
Kieran Snyder
The Landscape of Machine Intelligence
Shivon Zilis
The Learning of Algorithms
Venture Capital Investment Theses
Eric Wolford, Andy Wheeler, Jerry Chen, Blair Silverberg, Trae Stephens, Umair Akeel, Alexandra Suich (old bio)
True Ventures
Adam D’Augelli
CDL Annual Awards Ceremony
His Worship, John Tory, Governor General David Johnston
