Assessing Group Fairness with Social Welfare Optimization

Author:

Chen Violet,Hooker J. N.,Leben Derek

Publisher

Springer Nature Switzerland

Reference44 articles.

1. Angwin, J., Larson, J., Mattu, S., Kirchner, L.: Machine bias: There’s software used across the country to predict future criminals. And it’s biased against blacks. ProPublica (2016). Accessed 23 May 2016

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3. Barocas, S., Hardt, M., Narayanan, A.: Fairness and Machine Learning: Limitations and Opportunities. MIT Press, Cambridge (2023)

4. Baumann, J., Hannó, A., Heitz, C.: Enforcing group fairness in algorithmic decision making: utility maximization under sufficiency. In: Proceedings of FAccT 2022 (2022)

5. Bertsimas, D., Farias, V., Trichakis, N.: On the fairness-efficiency trade-off. Manag. Sci. 58, 2234–2250 (2012)

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