Michelle S. Lam

End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior

Michael S. Bernstein, Jeffrey T. Hancock, Mitchell L. Gordon, 2022, Proc. ACM Hum. Comput. Interact..

Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships

Michael S. Bernstein, Ryo Suzuki, Niloufar Salehi, 2016, CHI.

Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design

Michael S. Bernstein, J. Landay, Dakuo Wang, 2023, CHI.

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

Michael S. Bernstein, Jeffrey T. Hancock, Mitchell L. Gordon, 2022, CHI.

Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems pdf

Sam Corbett-Davies, Edmund Tong, Joshua Simons, 2021, ArXiv.

Embedding Democratic Values into Social Media AIs via Societal Objective Functions

Michael S. Bernstein, Jeffrey T. Hancock, Chenyan Jia, 2023, ArXiv.

Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising

Colin H. Kalicki, Michelle S. Lam, Ayush Pandit, 2023, Proc. ACM Hum. Comput. Interact..