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Michelle S. Lam
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2020 – today
- 2024
- [j3]Chenyan Jia
, Michelle S. Lam
Embedding Democratic Values into Social Media AIs via Societal Objective Functions. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-36 (2024) - [c9]Ziang Xiao
Human-Centered Evaluation and Auditing of Language Models. CHI Extended Abstracts 2024: 476:1-476:6 - [c8]Michelle S. Lam
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. CHI 2024: 766:1-766:28 - [c7]Michelle S. Lam
Granting Non-AI Experts Creative Control Over AI Systems. UIST (Adjunct Volume) 2024: 61:1-61:5 - [c6]Yoonho Lee
Clarify: Improving Model Robustness With Natural Language Corrections. UIST 2024: 133:1-133:19 - [i10]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) - [i9]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) - [i8]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) - [i7]Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery:
AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking. CoRR abs/2409.18203 (2024) - 2023
- [j2]Michelle S. Lam
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-37 (2023) - [c5]Michelle S. Lam
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CHI 2023: 741:1-741:24 - [c4]Wesley Hanwen Deng
Supporting User Engagement in Testing, Auditing, and Contesting AI. CSCW Companion 2023: 556-559 - [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
- [j1]Michelle S. Lam
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) - [c3]Mitchell L. Gordon
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI 2022: 115:1-115:19 - [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)
2010 – 2019
- 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 - [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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last updated on 2024-10-23 21:24 CEST by the dblp team
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