McKane Andrus
McKane Andrus
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"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
MK Andrus, E Spitzer, J Brown, A Xiang
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness …, 2021
Machine learning explainability for external stakeholders
U Bhatt, MK Andrus, A Weller, A Xiang
arXiv preprint arXiv:2007.05408, 2020
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
MK Andrus, S Villeneuve
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency …, 2022
Building human values into recommender systems: An interdisciplinary synthesis
J Stray, A Halevy, P Assar, D Hadfield-Menell, C Boutilier, A Ashar, ...
ACM Transactions on Recommender Systems 2 (3), 1-57, 2024
Legible normativity for AI alignment: The value of silly rules
D Hadfield-Menell, MK Andrus, G Hadfield
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 115-121, 2019
AI development for the public interest: From abstraction traps to sociotechnical risks
MK Andrus, S Dean, TK Gilbert, N Lambert, T Zick
2020 IEEE International Symposium on Technology and Society (ISTAS), 72-79, 2020
Towards a just theory of measurement: A principled social measurement assurance program for machine learning
MK Andrus, TK Gilbert
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 445-451, 2019
Inverse Reinforcement Learning for Dynamics
MK Andrus
UC Berkeley, 2019
Back to “Back to Labor”: Revisiting Political Economies of Computer-Supported Cooperative Work
J Tang, MK Andrus, S So, U Tandon, A Monroy-Hernández, ...
Companion Publication of the 2023 Conference on Computer Supported …, 2023
Attrition of Workers with Minoritized Identities on AI Teams
J Brown, T Park, J Chang, M Andrus, A Xiang, C Custis
Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms …, 2022
On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI
MK Andrus
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 559-560, 2019
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