Talking Machines

110 Episodes

1. AI for Good and The Real World

   Published: 10/18/2018
2. Systems Design and Tools for Transparency

   Published: 10/5/2018
3. How to Research in Hype and CIFAR's Strategy

   Published: 9/20/2018
4. Troubling Trends and Climbing Mountains

   Published: 9/7/2018
5. Gaussian Processes, Grad School, and Richard Zemel

   Published: 8/23/2018
6. Long Term Fairness

   Published: 8/9/2018
7. Simulated Learning and Real World Ethics

   Published: 7/27/2018
8. ICML 2018 with Jennifer Dy

   Published: 7/12/2018
9. Aspirational Asimov and How to Survive a Conference

   Published: 6/28/2018
10. Explanations and Reviews

    Published: 6/14/2018
11. Statements on Statements

    Published: 5/31/2018
12. The Futility of Artificial Carpenters and Further Reading

    Published: 5/17/2018
13. Economies, Work and AI

    Published: 5/3/2018
14. Explainability and the Inexplicable

    Published: 4/19/2018
15. Good Data Practice Rules

    Published: 4/5/2018
16. Can an AI Practitioner Fix a Radio?

    Published: 3/22/2018
17. Natural vs Artificial Intelligence and Doing Unexpected Work

    Published: 3/8/2018
18. Scientific Rigor and Turning Information into Action

    Published: 2/22/2018
19. Code Review for Community Change

    Published: 2/8/2018
20. The Pace of Change and The Public View of ML

    Published: 10/5/2017