Michelle S. Lam

According to our database, Michelle S. Lam authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

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

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows.

Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer

CoRR, 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

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

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