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Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency · Study

WorkProceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Mireille Hildebrandt2020

Work2020

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Mireille Hildebrandt, Carlos Castillo, Elisa Celis, Salvatore Ruggieri, Linnet Taylor, Gabriela Zanfir-Fortuna · Mireille Hildebrandt · Carlo Castillo · Celis Elisa · Salvatore Ruggieri · Linnet Taylor +1 more

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Ethics and Social Impacts of AI Privacy-Preserving Technologies in Data Explainable Artificial Intelligence (XAI)

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2019Algorithms at Work: The New Contested Terrain of Control 2021Human-machine collaboration in managerial decision making 2022The flaws of policies requiring human oversight of government algorithms 2022How transparency modulates trust in artificial intelligence 2022Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods 2019What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?2022Algorithmic fairness in computational medicine 2020An empirical characterization of fair machine learning for clinical risk prediction

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Year2020

Typeother

Published2020-01-22

Languageen

Citations475

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1145/3351095

openalex_workW4241857777

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