Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. - Ryo Suzuki 001; Niloufar Salehi; Michelle S. Lam; Juan C. Marroquin; Michael S. Bernstein (CHI, 2016)

Power Networks: A Novel Neural Architecture to Predict Power Relations. - Michelle S. Lam; Catherina Xu; Vinodkumar Prabhakaran (LaTeCH@COLING, 2018)

Amanuensis: The Programmer's Apprentice. - Thomas Dean; Maurice Chiang; Marcus Gomez; Nate Gruver; Yousef Hindy; Michelle S. Lam; Peter Lu; Sophia Sanchez; Rohun Saxena; Michael Smith; Lucy Wang; Catherine Wong (CoRR, 2018)

Power Networks: A Novel Neural Architecture to Predict Power Relations. - Michelle S. Lam; Catherina Xu; Angela Kong; Vinodkumar Prabhakaran (CoRR, 2018)

Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. - Michelle S. Lam; Grace B. Young; Catherine Y. Xu; Ranjay Krishna; Michael S. Bernstein (CHI Extended Abstracts, 2019)

Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems. - Chloé Bakalar; Renata Barreto; Stevie Bergman; Miranda Bogen; Bobbie Chern; Sam Corbett-Davies; Melissa Hall; Isabel Kloumann; Michelle S. Lam; Joaquin Quiñonero Candela; Manish Raghavan; Joshua Simons; et al. (CoRR, 2021)

Jury Learning: Integrating Dissenting Voices into Machine Learning Models. - Mitchell L. Gordon; Michelle S. Lam; Joon Sung Park; Kayur Patel; Jeffrey T. Hancock; Tatsunori Hashimoto; Michael S. Bernstein (CHI, 2022)

End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. - Michelle S. Lam; Mitchell L. Gordon; Danaë Metaxa; Jeffrey T. Hancock; James A. Landay; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2022)

Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. - Michelle S. Lam; Zixian Ma; Anne Li; Izequiel Freitas; Dakuo Wang; James A. Landay; Michael S. Bernstein (CHI, 2023)

Supporting User Engagement in Testing, Auditing, and Contesting AI. - Wesley Hanwen Deng; Michelle S. Lam; Ángel Alexander Cabrera; Danaë Metaxa; Motahhare Eslami; Kenneth Holstein (CSCW Companion, 2023)

Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising. - Michelle S. Lam; Ayush Pandit; Colin H. Kalicki; Rachit Gupta; Poonam Sahoo; Danaë Metaxa (Proc. ACM Hum. Comput. Interact., 2023)

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. - Michelle S. Lam; Janice Teoh; James A. Landay; Jeffrey Heer; Michael S. Bernstein (CHI, 2024)

Human-Centered Evaluation and Auditing of Language Models. - Ziang Xiao; Wesley Hanwen Deng; Michelle S. Lam; Motahhare Eslami; Juho Kim 001; Mina Lee 002; Q. Vera Liao (CHI Extended Abstracts, 2024)

Clarify: Improving Model Robustness With Natural Language Corrections. - Yoonho Lee 001; Michelle S. Lam; Helena Vasconcelos; Michael S. Bernstein; Chelsea Finn (UIST, 2024)

Granting Non-AI Experts Creative Control Over AI Systems. - Michelle S. Lam (UIST (Adjunct Volume), 2024)

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. - Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Michael S. Bernstein; Diyi Yang (CoRR, 2024)

AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking. - Michelle S. Lam; Fred Hohman; Dominik Moritz; Jeffrey P. Bigham; Kenneth Holstein; Mary Beth Kery (CoRR, 2024)

Embedding Democratic Values into Social Media AIs via Societal Objective Functions. - Chenyan Jia; Michelle S. Lam; Minh Chau Mai; Jeffrey T. Hancock; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2024)

Human-Centered Evaluation and Auditing of Language Models. - Yu Lu Liu; Wesley Hanwen Deng; Michelle S. Lam; Motahhare Eslami; Juho Kim 001; Q. Vera Liao; Wei Xu 004; Jekaterina Novikova; Ziang Xiao (CHI Extended Abstracts, 2025)

Aligning Language Models with Demonstrated Feedback. - Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Hyundong Justin Cho; Michael S. Bernstein; Diyi Yang (ICLR, 2025)

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. - Madeleine Grunde-McLaughlin; Michelle S. Lam; Ranjay Krishna; Daniel S. Weld; Jeffrey Heer (ACM Trans. Comput. Hum. Interact., 2025)