McKane Andrus

According to our database, McKane Andrus authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis.

Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Chloé Bakalar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Xian Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan

Trans. Recomm. Syst., September, 2024

2023

Back to " Back to Labor" : Revisiting Political Economies of Computer-Supported Cooperative Work.

Joice Tang, McKane Andrus, Samuel So, Udayan Tandon, Andrés Monroy-Hernández, Vera D. Khovanskaya, Sean A. Munson, Mark Zachry, Sucheta Ghoshal

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis.

Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy X. Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan

CoRR, 2022

Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness.

McKane Andrus, Sarah Villeneuve

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Attrition of Workers with Minoritized Identities on AI Teams.

Jeffrey Brown, Tina Park, Jiyoo Chang, McKane Andrus, Alice Xiang, Christine Custis

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness.

McKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Machine Learning Explainability for External Stakeholders.

Umang Bhatt, McKane Andrus, Adrian Weller, Alice Xiang

CoRR, 2020

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks.

McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

Proceedings of the IEEE International Symposium on Technology and Society, 2020

2019

Legible Normativity for AI Alignment: The Value of Silly Rules.

Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning.

McKane Andrus, Thomas K. Gilbert

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI.

McKane Andrus

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019