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Recommendations to promote fairness and inclusion in biomedical AI research and clinical use
16 references·0 citing·42 second hop
Recommendations to promote fairness and inclusion in biomedical AI research and clinical use (2024)Recommendations to promote fairness and i…Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations (2023)Non-White scientists appear o…Ethical Machine Learning in Healthcare (2021)Ethical Machine Learning in H…Fairness in Machine Learning (2020)Fairness in Machine LearningMachine behaviour (2019)Machine behaviourHow Do Fairness Definitions Fare? (2019)How Do Fairness Definitions F…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Artificial intelligence and algorithmic bias: implications for health systems (2019)Artificial intelligence and a…Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Ensuring Fairness in Machine …Distributive Justice (2017)Distributive JusticeRacism as a Determinant of Health: A Systematic Review and Meta-Analysis (2015)Racism as a Determinant of He…Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification (2012)Assessing the Reliability of …Experimentation, Validation, and Uncertainty Analysis for Engineers (2010)Experimentation, Validation, …Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Obtaining Data on Patient Race, Ethnicity, and Primary Language in Health Care Organizations: Current Challenges and Proposed Solutions (2006)Obtaining Data on Patient Rac…Studying those who study us: an anthropologist in the world of artificial intelligence (2002)Studying those who study us: …Ethnographic Research: A Guide to General Conduct (1987)Ethnographic Research: A Guid…Bias in meta-analysis detected by a simple, graphical test (1997)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)Stress and the Mental Health of Populations of Color: Advancing Our Understanding of Race-related Stressors (2018)Gender inequality and restrictive gender norms: framing the challenges to health (2019)Racism and Health: Evidence and Needed Research (2019)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)Measures of Racism, Sexism, Heterosexism, and Gender Binarism for Health Equity Research: From Structural Injustice to Embodied Harm—An Ecosocial Analysis (2019)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (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)Algorithmic Bias in Education (2021)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)50 Years of Test (Un)fairness (2019)Re-imagining Algorithmic Fairness in India and Beyond (2021)A clarification of the nuances in the fairness metrics landscape (2022)CRITICAL QUESTIONS FOR BIG DATA (2012)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)Computational Social Science (2009)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Experimental evidence of massive-scale emotional contagion through social networks (2014)Out-group animosity drives engagement on social media (2021)The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (2021)Social physics (2022)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)My Best Informant's Dress: The Erotic Equation in Fieldwork (1993)Investigating Information Systems with Ethnographic Research (1999)The evolution and transformation of a tourism destination network: the Waitomo Caves, New Zealand (2003)Recommendations for ethical and responsible use of artificial intelligence in digital agriculture (2022)Bias in AI-based models for medical applications: challenges and mitigation strategies (2023)How can we manage biases in artificial intelligence systems – A systematic literature review (2023)A Complete Framework for Verification, Validation, and Uncertainty Quantification in Scientific Computing (Invited) (2010)In pursuit of a fit-for-purpose uncertainty guide (2016)Uncertainty evaluation in time-dependent measurements (2022)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2015Racism as a Determinant of Health: A Systematic Review and Meta-Analysis2,606 cited
  • 2019Machine behaviour1,359 cited
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  • 2010Experimentation, Validation, and Uncertainty Analysis for Engineers442 cited
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  • 2002Studying those who study us: an anthropologist in the world of artificial intelligence269 cited
  • 2006Obtaining Data on Patient Race, Ethnicity, and Primary Language in Health Care Organizations: Current Challenges and Proposed Solutions247 cited
  • 2012Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification185 cited
  • 2017Distributive Justice158 cited
  • 2019How Do Fairness Definitions Fare?

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157 cited
  • 2023Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations139 cited
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