Michelle S. Lam

According to our database, Michelle S. Lam authored at least 21 papers between 2016 and 2025.

Collaborative distances:

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

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., June, 2025

Aligning Language Models with Demonstrated Feedback.

Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Hyundong Justin Cho, Michael S. Bernstein, Diyi Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Human-Centered Evaluation and Auditing of Language Models.

Yu Lu Liu, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Q. Vera Liao, Wei Xu, Jekaterina Novikova, Ziang Xiao

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

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

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

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

Granting Non-AI Experts Creative Control Over AI Systems.

Michelle S. Lam

Proceedings of the Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Clarify: Improving Model Robustness With Natural Language Corrections.

Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Human-Centered Evaluation and Auditing of Language Models.

Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, Q. Vera Liao

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

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

Michelle S. Lam, Janice Teoh, James A. Landay, Jeffrey Heer, Michael S. Bernstein

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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

Supporting User Engagement in Testing, Auditing, and Contesting AI.

Wesley Hanwen Deng, Michelle S. Lam, Ángel Alexander Cabrera, Danaë Metaxa, Motahhare Eslami, Kenneth Holstein

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

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

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

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, Jonathan Tannen, Edmund Tong, Kate Vredenburgh, Jiejing Zhao

CoRR, 2021

2019

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

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Power Networks: A Novel Neural Architecture to Predict Power Relations.

Michelle S. Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran

CoRR, 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, Vinodkumar Prabhakaran

Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2018

2016

Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships.

Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016