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Statistical Methods for Auditing the Quality of Manual Content Reviews.

, , and . Tiny Papers @ ICLR, OpenReview.net, (2023)

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Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure., , , , , , , and . CoRR, (2020)On the genealogy of machine learning datasets: A critical history of ImageNet., , , , and . Big Data Soc., 8 (2): 205395172110359 (July 2021)Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing., , , , , , , , and . FAT*, page 33-44. ACM, (2020)Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs., , , and . FAccT, page 217-226. ACM, (2023)Bringing the People Back In: Contesting Benchmark Machine Learning Datasets., , , , , and . CoRR, (2020)The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development., , , , , , , , , and 7 other author(s). CoRR, (2023)Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives., , , , and . CoRR, (2020)From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML., , , , , , and . CHI, page 2:1-2:18. ACM, (2023)Statistical Methods for Auditing the Quality of Manual Content Reviews., , and . Tiny Papers @ ICLR, OpenReview.net, (2023)Web based E-Government Data Distribution., and . HICSS, IEEE Computer Society, (2001)