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RL Explainability & Interpretability Panel
Ofra Amir · Finale Doshi-Velez · Alan Fern · Zachary Lipton · Omer Gottesman · Niranjani Prasad

Fri Jul 23 09:00 AM -- 10:00 AM (PDT) @
in Reinforcement Learning for Real Life »

Panelists: Ofra Amir (Technion), Finale Doshi-Velez (Harvard), Alan Fern (Oregon State), Zachary Lipton (CMU)

Co-Chairs/Moderators: Omer Gottesman (Brown U.) and Niranjani Prasad (Microsoft)

Author Information

Ofra Amir (Technion - Israel Institute of Technology)
Finale Doshi-Velez (Harvard University)
Finale Doshi-Velez

Finale Doshi-Velez is a Gordon McKay Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences. She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and interpretability. Selected Additional Shinies: BECA recipient, AFOSR YIP and NSF CAREER recipient; Sloan Fellow; IEEE AI Top 10 to Watch

Alan Fern (Oregon State University)
Zachary Lipton (Carnegie Mellon University)
Omer Gottesman (Harvard University)
Niranjani Prasad (Microsoft Research Cambridge)

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