Fairness in representation: quantifying stereotyping as a representational harm

Author:

Abbasi Mohsen,Friedler Sorelle A.,Scheidegger Carlos,Venkatasubramanian Suresh

Publisher

Society for Industrial and Applied Mathematics

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems;ACM Transactions on Intelligent Systems and Technology;2024-07-29

2. Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies;Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics;2024-06-19

3. A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

4. An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology;American Journal of Neuroradiology;2023-08-31

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