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

, , , , , и . CSCW Companion, стр. 556-559. ACM, (2023)

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Hanwen Cao

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Towards Änytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI., , и . CoRR, (2023)Supporting User Engagement in Testing, Auditing, and Contesting AI., , , , , и . CSCW Companion, стр. 556-559. ACM, (2023)Human-Centered Evaluation and Auditing of Language Models., , , , , , и . CHI Extended Abstracts, стр. 476:1-476:6. ACM, (2024)Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice., , , , , и . CoRR, (2022)Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust., , , и . CoRR, (2022)Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice., , , , , и . FAccT, стр. 705-716. ACM, (2023)Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice., , , , , и . CHI, стр. 377:1-377:18. ACM, (2023)Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits., , , , , , и . FAccT, стр. 473-484. ACM, (2022)Opportunities for Human-centered Evaluation of Machine Translation Systems., , , и . NAACL-HLT (Findings), стр. 229-240. Association for Computational Linguistics, (2022)