On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI. - McKane Andrus (AIES, 2019)

Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning. - McKane Andrus; Thomas K. Gilbert (AIES, 2019)

Legible Normativity for AI Alignment: The Value of Silly Rules. - Dylan Hadfield-Menell; McKane Andrus; Gillian K. Hadfield (AIES, 2019)

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. - McKane Andrus; Sarah Dean; Thomas Krendl Gilbert; Nathan Lambert 001; Tom Zick (ISTAS, 2020)

Machine Learning Explainability for External Stakeholders. - Umang Bhatt; McKane Andrus; Adrian Weller; Alice Xiang (CoRR, 2020)

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 (FAccT, 2021)

Attrition of Workers with Minoritized Identities on AI Teams. - Jeffrey Brown; Tina M. Park; Jiyoo Chang; McKane Andrus; Alice Xiang; Christine Custis (EAAMO, 2022)

Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness. - McKane Andrus; Sarah Villeneuve (FAccT, 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; et al. (CoRR, 2022)

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 (CSCW Companion, 2023)

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; et al. (Trans. Recomm. Syst., 2024)

From Data Activism to Activism in a Time of Data-Centrism: Affirming Epistemological Heterogeneity in Social Movements. - McKane Andrus; Sucheta Ghoshal; Sayamindu Dasgupta (Proc. ACM Hum. Comput. Interact., 2025)