Imperfect Inferences: A Practical Assessment.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Algorithms that "Don't See Color": Measuring Biases in Lookalike and Special Ad Audiences.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging.
Proceedings of the WSDM '21, 2021
Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination.
Proceedings of the FAT* '20: Conference on Fairness, 2020
Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes.
Proc. ACM Hum. Comput. Interact., 2019
Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences.
CoRR, 2019
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes.
CoRR, 2019