ICLR-21 Workshop on Responsible AI
An interdisciplinary perspective on practical limitations and tradeoffs among fairness, explainability, safety, robustness, and beyond.

Schedule (tentative)

Date: May 7, 2020 (All times are in PST).


Session 1

06:45-07:00 Opening Remarks by Organizers

07:00-08:00 Virtual Poster Session 1

08:00-08:30 Invited Talk: Dorsa Sadigh (Stanford)

08:30-09:00 Invited Talk: Been Kim (Google)

09:00-09:30 Invited Talk: Motahhare Eslami (CMU)

09:30-10:00 Coffee Break/Breakout Session (virtual venue)

10:00-10:30 Invited Talk: Richard Zemel (Toronto)

10:30-11:00 Invited Talk: Cynthia Rudin (Duke)

11:00-11:30 Invited talk: Hima Lakkaraju (Harvard)

11:30-12:30 Panel Discussion: Motahhare Eslami, Been Kim, Hima Lakkaraju, Cynthia Rudin, Dorsa Sadigh, Richard Zemel



Session 2

12:30-13:30 Virtual Poster Session 2

13:30-13:45 Spotlight Contributed Talk: Practical Deepfake Detection

13:45-14:00 Spotlight Contributed Talk: On Adversarial Robustness: A Neural Architecture Search Perspective

14:00-14:30 Invited Talk: Eric Rice (USC)

14:30-15:00 Invited Talk: Joaquin Quiñonero Candela (Facebook)
15:00-15:15 Spotlight Contributed Talk: Do Input Gradients Highlight Discriminative Features?

15:15-15:45 Invited Talk: Moritz Hardt (Berkeley)

15:45-16:15 Coffee Break/Breakout Session (virtual venue)

16:15-16:45 Invited Talk: Priya Donti (CMU)

16:45-17:15 Invited Talk: Finale Doshi-Velez (Harvard)

17:15-17:30 Spotlight Contributed Talk: Towards Unifying Feature Attribution and Counterfactual Explanations

17:30-18:30 Panel Discussion: Priya Donti, Finale Doshi-Velez, Moritz Hardt, Joaquin Quiñonero Candela, Eric Rice

18:30-18:45 Concluding Remarks by Organizers