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Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs
16 references·1 citing·30 second hop
Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs (2023)Fairness in Design: A Framework for Facil…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI (2020)Co-Designing Checklists to Un…Understanding digital transformation: A review and a research agenda (2019)Understanding digital transfo…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Fairness definitions explained (2018)Fairness definitions explainedThe forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms (2017)The forthcoming Artificial In…Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness in Machine Learning:…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessAlgorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Do People Have Insight Into Their Abilities? A Metasynthesis (2014)Do People Have Insight Into T…Fairness through awareness (2012)Fairness through awarenessFairness and Bias in Robot Learning (2024)Fairness and Bias in Robot Le…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)What Computers Still Can't Do: A Critique of Artificial Reason (1994)Big data: a revolution that will transform how we live, work, and think (2013)Big data: a revolution that will transform how we live, work, and think (2014)Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare (2018)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Shaping Agility through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms1 (2003)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Digital Business Strategy: Toward a Next Generation of Insights (2013)A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change (2020)Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective (2020)Digital transformation in business and management research: An overview of the current status quo (2021)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Abstraction in Sociotechnical Systems (2019)Machine behaviour (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)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)
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References

  • 2019Understanding digital transformation: A review and a research agenda7,294 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2017The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms1,865 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2018Fairness definitions explained1,125 cited
  • 2017Counterfactual Fairness995 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2017Fairness in Machine Learning: Lessons from Political Philosophy500 cited
  • 2020Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI435 cited

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  • 2014Do People Have Insight Into Their Abilities? A Metasynthesis432 cited
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    • 2024Fairness and Bias in Robot Learning16 cited