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ESR: Ethics and Society Review of Artificial Intelligence Research
16 references·2 citing·37 second hop
ESR: Ethics and Society Review of Artificial Intelligence Research (2021)ESR: Ethics and Society Review of Artific…Closing the AI accountability gap (2020)Closing the AI accountability…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…Model Cards for Model Reporting (2019)Model Cards for Model Reporti…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…Algorithms of Oppression (2018)Algorithms of OppressionFair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Do Artifacts Have Politics? (2017)Do Artifacts Have Politics?Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Weapons of Math Destruction: …Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness through awareness (2012)Fairness through awarenessThe Duality of Technology: Rethinking the Concept of Technology in Organizations (1992)The Duality of Technology: Re…The Unanticipated Consequences of Purposive Social Action (1936)The Unanticipated Consequence…Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing (2023)Thorny Roses: Investigating t…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)A Survey on Bias and Fairness in Machine Learning (2021)A Framework for the Comparative Analysis of Organizations (1967)The Social Construction of Facts and Artefacts: or How the Sociology of Science and the Sociology of Technology might Benefit Each Other (1984)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory (1994)Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations (2000)Reconceptualizing Organizational Routines as a Source of Flexibility and Change (2003)Discrimination-aware data mining (2008)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Semantics derived automatically from language corpora contain human-like biases (2017)Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Gaydar: Facebook friendships expose sexual orientation (2009)Three naive Bayes approaches for discrimination-free classification (2010)Private traits and attributes are predictable from digital records of human behavior (2013)The ethics of algorithms: Mapping the debate (2016)Nature of Prejudice (1954)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Generative AI at Work (2023)What is AI Literacy? Competencies and Design Considerations (2020)Algorithms at Work: The New Contested Terrain of Control (2019)Consumers and Artificial Intelligence: An Experiential Perspective (2020)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,674 cited
  • 2019The global landscape of AI ethics guidelines7,131 cited
  • 1992The Duality of Technology: Rethinking the Concept of Technology in Organizations4,953 cited
  • 2012Fairness through awareness3,545 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,544 cited
  • 2014Big Data's Disparate Impact3,281 cited
  • 2019Model Cards for Model Reporting3,049 cited
  • 2018Algorithms of Oppression2,778 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 1936The Unanticipated Consequences of Purposive Social Action2,522 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,338 cited
  • 2017Do Artifacts Have Politics?2,325 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2019Principles alone cannot guarantee ethical AI2,113 cited
  • 2020Closing the AI accountability gap1,896 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems

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  • 2021On the Opportunities and Risks of Foundation Models5,848 cited
  • 2023Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing12 cited