Michelle S. Lam

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Machine Learning Models

Targeted Advertising

User Engagement

Top Venues

Proc. ACM Hum. Comput. Interact.

CHI Extended Abstracts

Publications

Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, Q. Vera Liao
Human-Centered Evaluation and Auditing of Language Models. CHI Extended Abstracts (2024)
Michelle S. Lam, Janice Teoh, James A. Landay, Jeffrey Heer, Michael S. Bernstein
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. CoRR (2024)
Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn
Clarify: Improving Model Robustness With Natural Language Corrections. CoRR (2024)
Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. CoRR (2024)
Michelle S. Lam, Janice Teoh, James A. Landay, Jeffrey Heer, Michael S. Bernstein
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. CHI (2024)
Chenyan Jia, Michelle S. Lam, Minh Chau Mai, Jeffrey T. Hancock, Michael S. Bernstein
Embedding Democratic Values into Social Media AIs via Societal Objective Functions. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. CoRR (2023)
Wesley Hanwen Deng, Michelle S. Lam, Ángel Alexander Cabrera, Danaë Metaxa, Motahhare Eslami, Kenneth Holstein
Supporting User Engagement in Testing, Auditing, and Contesting AI. CSCW Companion (2023)
Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CoRR (2023)
Michelle S. Lam, Ayush Pandit, Colin H. Kalicki, Rachit Gupta, Poonam Sahoo, Danaë Metaxa
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising. CoRR (2023)
Chenyan Jia, Michelle S. Lam, Minh Chau Mai, Jeff T. Hancock, Michael S. Bernstein
Embedding Democratic Values into Social Media AIs via Societal Objective Functions. CoRR (2023)
Michelle S. Lam, Ayush Pandit, Colin H. Kalicki, Rachit Gupta, Poonam Sahoo, Danaë Metaxa
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CHI (2023)
Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI (2022)
Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein
Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. CHI Extended Abstracts (2019)
Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CHI (2016)
Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CoRR (2016)