Michelle S. Lam

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

Mitchell Gordon, Michelle S. Lam, Joon Sung Park et al. · CHI Conference on Human Factors in Computing Systems · 2022 · 116 citations · Full text

Atelier

Ryo Suzuki, Niloufar Salehi, Michelle S. Lam et al. · 2016 · 67 citations

Crowd Mentors, Crowd Computing, Computational Social Science +15

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

Michelle S. Lam, Mitchell Gordon, Danaë Metaxa et al. · Proceedings of the ACM on Human-Computer Interaction · 2022 · 59 citations

Software Maintenance, Computer Ethic, End Users +27

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

Michelle S. Lam, Ayush Pandit, Colin H. Kalicki et al. · Proceedings of the ACM on Human-Computer Interaction · 2023 · 30 citations · Full text

Algorithm Audits, Engineering, Targeted Advertising +25

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM

Michelle S. Lam, J. E. M. Teoh, James A. Landay et al. · 2024 · 29 citations · Full text