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That's not fair!

Published:10 April 2019Publication History
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Abstract

Why we need to study machine learning fairness, even in an increasingly unfair world.

References

  1. Liu, L. T., Dean, S., Rolf, E., Simchowitz, M. and Hardt, M. 2018. Delayed impact of fair machine learning. Proceedings of the 35th International Conference on Machine Learning, in PMLR 80. 2018; https://arxiv.org/abs/1803.04383Google ScholarGoogle Scholar
  2. Mikians, J., Gyarmati, L., Erramilli, V., and Laoutaris, N.. Detecting price and search discrimination on the internet. In Proceedings of the 11th ACM Workshop on Hot Topics in Networks {HotNets-XI}. ACM, New York, 2012, 79--84 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Buolamwini, J. and Gebru, T. Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, in PMLR 81. 2018; http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdfGoogle ScholarGoogle Scholar
  4. AAdamson, A. S. and Smith, A. Machine learning and health care disparities in dermatology. JAMA Dermatology 154, 11 {2018}, 1247--1248Google ScholarGoogle ScholarCross RefCross Ref
  5. Angwin, J., Larson, J., Mattu, S., and Kirchner, L. Machine bias. Pro Publica. {May 23, 2016}; https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencingGoogle ScholarGoogle Scholar
  6. Shankar, S. et. al. No classification without representation: Assessing geodiversity issues in open data sets for the developing world. In NIPS 2017 Workshop: Machine Learning for the Developing World. arXiv. 2017; https://arxiv.org/abs/1711.08536Google ScholarGoogle Scholar
  7. Diakopoulos, N. Algorithmic Accountability Reporting: On the Investigation of Black Boxes. Tow Center for Digital Journalism Publications. Tow Center for Digital Journalism, Columbia University, New York, 2014.Google ScholarGoogle Scholar
  8. Dastin, J. Amazon scraps secret AI recruiting tool that showed bias against women. Reuters. {October 9, 2018}; https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08GGoogle ScholarGoogle Scholar
  9. Gilbert, D. T. and Hixon, G. J. The trouble of thinking: activation and application of stereotypic beliefs. Journal of Personality & Social Psychology 60, 4 {1991}, 509--517Google ScholarGoogle ScholarCross RefCross Ref
  10. Sahil, V., S. and Rubin, J.. Fairness definitions explained. In FairWare'18: IEEE/ACM International Workshop on Software Fairness. ACM, New York, 2018 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Fair Housing Act. The 7 Protected Classes Under the Fair Housing Act. {2016}; https://fairhousingact.org/the-7-protected-classes-under-the-fair-housing-act/Google ScholarGoogle Scholar

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      • Published in

        cover image XRDS: Crossroads, The ACM Magazine for Students
        XRDS: Crossroads, The ACM Magazine for Students  Volume 25, Issue 3
        AI and Interpretation
        Spring 2019
        62 pages
        ISSN:1528-4972
        EISSN:1528-4980
        DOI:10.1145/3325198
        Issue’s Table of Contents

        Copyright © 2019 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 April 2019

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