Panel #2

Jul 17, 2020

Speakers

About

02:38 Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems (A. Feder Cooper, Karen Levy, Christopher De Sa) 20:15 Legal Risks of Adversarial Machine Learning Research (Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert) 36:11 What Is a Proxy and Why Is It a Problem? (Margarita Boyarskaya, Solon Barocas, Hanna Wallach) 50:40 Punishing Race, Poverty and Trauma: the Data behind predictive algorithms in the American justice system (Claire Boine, Jeffrey D. Krupa) 01:07:45 Formalizing Data Deletion in the Context of the Right to be Forgotten (Sanjam Garg, Shafi Goldwasser, Prashant Nalini Vasudevan)

Organizer

About ICML 2020

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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