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From Reality to World. A Critical Perspective on AI Fairness
16 references·16 citing·32 second hopsampled
From Reality to World. A Critical Perspective on AI Fairness (2022)From Reality to World. A Critical Perspec…The Quarterly Journal of Economics (2024)The Quarterly Journal of Econ…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Principles alone cannot guarantee ethical AI (2019)Principles alone cannot guara…Fairness and Abstraction in Sociotechnical Systems (2019)Fairness and Abstraction in S…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Seeing without knowing: Limit…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Reassembling the Social (2005)Reassembling the SocialThe De-scription of Technical Objects (1992)The De-scription of Technical…Models and Analogies in Science (1965)Models and Analogies in Scien…Rethinking responsible AI from ethical pillars to sociotechnical practice (2025)Rethinking responsible AI fro…Human-artificial intelligence collaboration in supply chain outcomes: the mediating role of responsible artificial intelligence (2025)Human-artificial intelligence…Fairness and bias in AI: a sociotechnical perspective (2025)Fairness and bias in AI: a so…Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries (2025)Evaluating Trustworthiness in…Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools (2025)Developing and validating an …Navigating Bias and Fairness in Digital AI Systems (2024)Navigating Bias and Fairness …Challenges of responsible AI in practice: scoping review and recommended actions (2024)Challenges of responsible AI …Assessing trustworthy AI: Technical and legal perspectives of fairness in AI (2024)Assessing trustworthy AI: Tec…Ηow to Use Artificial Intelligence (AI) as a Resource, Methodological and Analysis Tool in Qualitative Research? (2023)Ηow to Use Artificial Intelli…How AI developers can assure algorithmic fairness (2023)How AI developers can assure …Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness (2023)Fairness Evaluation in Text C…Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures (2023)Applicants’ Fairness Percepti…AI Regulation Is (not) All You Need (2023)AI Regulation Is (not) All Yo…A step toward building a unified framework for managing AI bias (2023)A step toward building a unif…Responsible natural language processing: A principlist framework for social benefits (2022)Responsible natural language …Guest Editorial: Business Ethics in the Era of Artificial Intelligence (2022)Guest Editorial: Business Eth…Fairness through awareness (2012)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Truth and Method (1960)Why Most Published Research Findings Are False (2005)Stanford Encyclopedia of Philosophy (2015)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Dilemmas in a general theory of planning (1973)Algorithms at Work: The New Contested Terrain of Control (2019)What Do Platforms Do? 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(2009)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Semantics derived automatically from language corpora contain human-like biases (2017)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Notes on the theory of the actor-network: Ordering, strategy, and heterogeneity (1992)Music in Everyday Life (2000)Actor Network Theory and Material Semiotics (2008)Sociomaterial Practices: Exploring Technology at Work (2007)THE LOGIC OF CONNECTIVE ACTION (2012)Institutions and axioms: an extension and update of service-dominant logic (2015)A Theory of Fairness, Competition, and Cooperation (1999)Boys will be Boys: Gender, Overconfidence, and Common Stock Investment (2001)The Skill Content of Recent Technological Change: An Empirical Exploration (2003)
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References

  • 2005Reassembling the Social16,760 cited
  • 2024The Quarterly Journal of Economics7,176 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 1992The De-scription of Technical Objects2,415 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 1965Models and Analogies in Science1,762 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor1,167 cited

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2022
Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *
1,165 cited

Cited by

  • 2023Ηow to Use Artificial Intelligence (AI) as a Resource, Methodological and Analysis Tool in Qualitative Research?133 cited
  • 2023Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures105 cited
  • 2022Guest Editorial: Business Ethics in the Era of Artificial Intelligence87 cited
  • 2025Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries81 cited
  • 2024Challenges of responsible AI in practice: scoping review and recommended actions80 cited
  • 2025Human-artificial intelligence collaboration in supply chain outcomes: the mediating role of responsible artificial intelligence56 cited
  • 2024Assessing trustworthy AI: Technical and legal perspectives of fairness in AI41 cited
  • 2023AI Regulation Is (not) All You Need40 cited
  • 2023How AI developers can assure algorithmic fairness34 cited
  • 2025Rethinking responsible AI from ethical pillars to sociotechnical practice32 cited
  • 2025Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools30 cited
  • 2024Navigating Bias and Fairness in Digital AI Systems26 cited
  • 2022Responsible natural language processing: A principlist framework for social benefits26 cited
  • 2023A step toward building a unified framework for managing AI bias23 cited
  • 2025Fairness and bias in AI: a sociotechnical perspective16 cited
  • 2023Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness14 cited