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Risk mitigation in algorithmic accountability: The role of machine learning copies
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Risk mitigation in algorithmic accountability: The role of machine learning copies (2020)Risk mitigation in algorithmic accountabi…Ethics Guidelines for Trustworthy AI (2021)Ethics Guidelines for Trustwo…Roles for computing in social change (2020)Roles for computing in social…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…Actionable Auditing (2019)Actionable AuditingGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …ETHICS GUIDELINES FOR TRUSTWORTHY AI (2018)ETHICS GUIDELINES FOR TRUSTWO…Discrimination in the Age of Algorithms (2018)Discrimination in the Age of …Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017)Fairer machine learning in th…Preparing for the future of Artificial Intelligence (2016)Preparing for the future of A…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactDiscrimination in Online Ad Delivery (2013)Discrimination in Online Ad D…Discrimination in online ad delivery (2013)Discrimination in online ad d…Stanford Encyclopedia of Philosophy (2007)Stanford Encyclopedia of Phil…The origin of species, by Charles Darwin. (1900)The origin of species, by Cha…Stakeholder-accountability model for artificial intelligence projects (2022)Stakeholder-accountability mo…Uniform Guidelines on Employee Selection Procedures (2007)Equal Employment Opportunity Commission (2012)The Economics of Privacy (2016)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)On financial contracting (1979)Sense and nonsense: evolutionary perspectives on human behaviour (2003)Loneliness within a nomological net: An evolutionary perspective (2006)The Logic of Scientific Discovery (2013)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Algorithmic Decision Making and the Cost of Fairness (2017)Fairness definitions explained (2018)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)Pandora's Hope: Essays on the Reality of Science Studies (2000)CRITICAL QUESTIONS FOR BIG DATA (2012)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)The Ethics of Artificial Intelligence (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Accountability in algorithmic decision making (2016)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Unsettling race and language: Toward a raciolinguistic perspective (2017)Algorithmic Bias in Education (2021)Towards a standard for identifying and managing bias in artificial intelligence (2022)Bias and Fairness in Large Language Models: A Survey (2024)The Social Neuroscience of Empathy (2009)Imagining as a Guide to Possibility (2010)Epistemic Teleology and the Separateness of Propositions (2013)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The ethics of algorithms: Mapping the debate (2016)
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References

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  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
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  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
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  • 2020Roles for computing in social change

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  • 2022Stakeholder-accountability model for artificial intelligence projects12 cited