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Michelle S. Lam
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Journal Articles
- 2024
- [j3]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): 1-36 (2024) - 2023
- [j2]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): 1-37 (2023) - 2022
- [j1]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): 1-34 (2022)
Conference and Workshop Papers
- 2024
- [c7]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: 476:1-476:6 - [c6]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: 766:1-766:28 - 2023
- [c5]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: 741:1-741:24 - [c4]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: 556-559 - 2022
- [c3]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: 115:1-115:19 - 2019
- [c2]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 - 2016
- [c1]Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein
:
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CHI 2016: 2645-2656
Informal and Other Publications
- 2024
- [i9]Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn:
Clarify: Improving Model Robustness With Natural Language Corrections. CoRR abs/2402.03715 (2024) - [i8]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 abs/2404.12259 (2024) - [i7]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 abs/2406.00888 (2024) - 2023
- [i6]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 abs/2303.02884 (2023) - [i5]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 abs/2307.13912 (2023) - [i4]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 abs/2308.15768 (2023) - [i3]Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer:
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. CoRR abs/2312.11681 (2023) - 2022
- [i2]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 abs/2202.02950 (2022) - 2016
- [i1]Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein:
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CoRR abs/1602.06634 (2016)
Coauthor Index
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