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