Abstract:
- 14:45-15:00: Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems (A. Feder Cooper, Karen Levy, Christopher De Sa)
- 15:00-15:15: Punishing Race, Poverty and Trauma: the Data behind predictive algorithms in the American justice system (Claire Boine, Jeffrey D. Krupa)
- 15:15-15:30 : Legal Risks of Adversarial Machine Learning Research (Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert)
- 15:30-15:45: What Is a Proxy and Why Is It a Problem? (Margarita Boyarskaya, Solon Barocas, Hanna Wallach)
- 15:45-16:00: Formalizing Data Deletion in the Context of the Right to be Forgotten (Sanjam Garg, Shafi Goldwasser, Prashant Nalini Vasudevan)
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