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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias., , , , , , , , , и 8 other автор(ы). CoRR, (2018)Opportunies for Generative AI in UX Modernization 81-91., , , , , , , и . IUI Workshops, том 3124 из CEUR Workshop Proceedings, стр. 81-91. CEUR-WS.org, (2022)AI explainability 360: hands-on tutorial., , , , , , , , , и 10 other автор(ы). FAT*, стр. 696. ACM, (2020)Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks., , , , , , , и . IUI Workshops, том 3660 из CEUR Workshop Proceedings, CEUR-WS.org, (2024)Drinking Chai with Your (AI) Programming Partner: Value Tensions in the Tokenization of Future Human-AI Collaborative Work., , , и . CHIWORK, стр. 7:1-7:15. ACM, (2024)Better Together? An Evaluation of AI-Supported Code Translation., , , , , , , и . IUI, стр. 369-391. ACM, (2022)The Programmer's Assistant User Experience., , , , и . IUI Companion, стр. 102-104. ACM, (2023)AI Explainability 360 Toolkit., , , , , , , , , и 10 other автор(ы). COMAD/CODS, стр. 376-379. ACM, (2021)Understanding How Task Dimensions Impact Automation Preferences with a Conversational Task Assistant., , , , , и . AutomationXP@CHI, том 3394 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity, , , , , , , , , и 3 other автор(ы). (2018)cite arxiv:1808.07261Comment: 31 pages.