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Algorithmic Bias and Risk Assessments: Lessons from Practice · Study

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ArticleAlgorithmic Bias and Risk Assessments: Lessons from Practice

Ali Hasan2022

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Articlebronze2022

Algorithmic Bias and Risk Assessments: Lessons from Practice

Ali Hasan · Shea Brown · Jovana Davidovic · Mitt Regan

29 citations·0/0 files stored·Digital Society

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Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)Artificial Intelligence in Law

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References

2021A Survey on Bias and Fairness in Machine Learning 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification 2019Fairness and Abstraction in Sociotechnical Systems 2019Review of “Race After Technology: Abolitionist Tools for the New Jim Code”2004The responsibility gap: Ascribing responsibility for the actions of learning automata 2021Algorithmic bias: Senses, sources, solutions 2021Ethics-Based Auditing to Develop Trustworthy AI 2022Operationalising AI Governance through Ethics-Based Auditing: An Industry Case Study

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2023Norms for Academic Writing in the Era of Advanced Artificial Intelligence 2023Engaging engineering teams through moral imagination: a bottom-up approach for responsible innovation and ethical culture change in technology companies

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Year2022

Typearticle

Published2022-08-19

VenueDigital Society

ISSN-L2731-4650

Languageen

Citations29

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1007/s44206-022-00017-z

openalex_workW4297924419

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