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Bias in Data-driven AI Systems - An Introductory Survey.

, , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2020)

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Helmut Kinder

Hermann Kinder

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Michael Kinder

Alain Kinder

 

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Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation., , , , , , , и . AIES, стр. 107-118. ACM, (2022)Archiving information from geotagged tweets to promote reproducibility and comparability in social media research, , , , и . Big Data & Society, 4 (2): 205395171773633 (ноября 2017)Knowing in Algorithmic Regimes: Insights from a Roundtable, Discussion on Methods, Interactions and Politics., , , , , и . (2023)"i always feel it must be great to be a hacker!": the role of interdisciplinary work in social media research., и . WebSci, стр. 91-98. ACM, (2014)Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science, , , , , , , и . Dagstuhl Manifestos, (2021)Ethically Intelligent? A Framework for Exploring Human Resource Management Challenges of Intelligent Working Environments., и . ISAmI, том 219 из Advances in Intelligent Systems and Computing, стр. 213-219. Springer, (2013)Bias in data-driven artificial intelligence systems—An introductory survey, , , , , , , , , и 13 other автор(ы). WIREs Data Mining and Knowledge Discovery, (февраля 2020)Bias in data-driven artificial intelligence systems - An introductory survey., , , , , , , , , и 13 other автор(ы). WIREs Data Mining Knowl. Discov., (2020)The Ethics of Doing Web Science Research: Panel Abstract., и . WebSci, стр. 1. ACM, (2017)Articulation Work and Tinkering for Fairness in Machine Learning., , , , , и . CoRR, (2024)