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What makes clinical machine learning fair? A practical ethics framework
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What makes clinical machine learning fair? A practical ethics framework (2025)What makes clinical machine learning fair…Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Bias and Unfairness in Machin…A Review on Fairness in Machine Learning (2022)A Review on Fairness in Machi…Mitigating bias in machine learning for medicine (2021)Mitigating bias in machine le…Ethics-Based Auditing to Develop Trustworthy AI (2021)Ethics-Based Auditing to Deve…Ethical Machine Learning in Healthcare (2021)Ethical Machine Learning in H…Ethical limitations of algorithmic fairness solutions in health care machine learning (2020)Ethical limitations of algori…Structural Injustice (2019)Structural InjusticeA comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…The Measure and Mismeasure of Fairness (2018)The Measure and Mismeasure of…Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Ensuring Fairness in Machine …Specifying Norms as a Way to Resolve Concrete Ethical Problems (2017)Specifying Norms as a Way to …Implicit bias in healthcare professionals: a systematic review (2017)Implicit bias in healthcare p…Algorithmic Bias in Autonomous Systems (2017)Algorithmic Bias in Autonomou…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Social Justice: The Moral Foundations of Public Health and Health Policy (2006)Social Justice: The Moral Fou…A theory of justice original editionA theory of justice original …Uniform Guidelines on Employee Selection Procedures (2007)Fairness through awareness (2012)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)The Impact of Unconscious Bias in Healthcare: How to Recognize and Mitigate It (2019)Eliminating Explicit and Implicit Biases in Health Care: Evidence and Research Needs (2022)Racism in healthcare: a scoping review (2022)Discrimination-aware data mining (2008)Big Data's Disparate Impact (2014)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)Algorithmic bias in data-driven innovation in the age of AI (2021)The ethics of algorithms: key problems and solutions (2021)Equality of Opportunity in Supervised Learning (2016)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Trustworthy AI: From Principles to Practices (2022)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic fairness in education (2022)Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making (2024)Health Care Disparities (2003)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Mitigating Unwanted Biases with Adversarial Learning (2018)Artificial intelligence and algorithmic bias: implications for health systems (2019)Measures of Racism, Sexism, Heterosexism, and Gender Binarism for Health Equity Research: From Structural Injustice to Embodied Harm—An Ecosocial Analysis (2019)CRITICAL QUESTIONS FOR BIG DATA (2012)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Addressing fairness in artificial intelligence for medical imaging (2022)Bias in artificial intelligence algorithms and recommendations for mitigation (2023)Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care (2023)A Survey on Bias and Fairness in Machine Learning (2021)Fairness in recommender systems: research landscape and future directions (2023)Mental-LLM (2024)Deaf sign language users, health inequities, and public health: opportunity for social justice. (2011)Wellness as Fairness (2011)Trends in Health Equity in the United States by Race/Ethnicity, Sex, and Income, 1993-2017 (2019)11. Reasons and Persons (1986)Organizational Justice: Yesterday, Today, and Tomorrow (1990)Misery Loves Companies: Rethinking Social Initiatives by Business (2003)
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References

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  • 2019Structural Injustice106 cited
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