WebJun 1, 2024 · Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard Zemel. Fairness through awareness. Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, ACM (2012), pp. 214-226. CrossRef View in Scopus Google Scholar [15] Evelyn Ellis, Philippa Watson. EU Anti-Discrimination Law. Oxford University … WebToniann Pitassi, University of Toronto . Controlling the Black Box: Learning Manipulable and Fair Representations Richard Zemel, University of Toronto . Towards anonymous …
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WebJun 18, 2024 · David Madras, Elliot Creager, Toniann Pitassi, and Richard Zemel. 2024. Learning adversarially fair and transferable representations. In International Conference on Machine Learning. PMLR, 3384--3393. Google Scholar; Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, and Ni Lao. 2024. Multi-scale representation learning for … WebToniann Pitassi is a professor and the Bell Canada Chair in Information Systems in the Department of Computer Science at the University of Toronto, as well as a faculty member at the Vector Institute for Artificial Intelligence. Her work focuses on fairness in artificial intelligence and how to address biased data sources. She has also worked ... dvd shenandoah
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WebToniann Pitassi's Webpage : Brief Bio. I received bachelors and masters degrees from Pennsylvania State University and then received a PhD from the University of Toronto in … WebMoritz Hardt & Toniann Pitassi, et al. Fairness Through Awareness〔C〕. Proceedings of the 3rd Innovations in Theoretical Computer Science Conference.2012. {53}许可.人工智能的算法黑箱与数据正义〔N〕.社会科学报,2024-3-29(6). {54} Jenna Burrell. How the Machine Thinks:Understanding Opacity in Machine Learning Algorithms. WebCynthia Dwork⁄ Moni Naory Toniann Pitassiz Guy N. Rothblumx Sergey Yekhanin{Abstract Collectors of confldential data, such as governmental agencies, hospitals, or search engine providers, can be pressured to permit data to be used for purposes other than that for which they were collected. in car webcam