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Mitigating Racial Bias in Machine Learning
4 references·8 citing·34 second hop
Mitigating Racial Bias in Machine Learning (2022)Mitigating Racial Bias in Machine LearningDissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Standards for UNiversal reporting of patient Decision Aid Evaluation studies: the development of SUNDAE Checklist (2017)Standards for UNiversal repor…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Bias, Black Lives, and Academic Medicine (2015)Bias, Black Lives, and Academ…Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis (2025)Mitigating Bias in Machine Le…Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review (2025)Integrating equity, diversity…Distinct predictors of positive attitudes toward artificial intelligence and general technology: big five traits, gender, and age (2025)Distinct predictors of positi…The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities – a scoping review (2024)The bias algorithm: how AI in…Out of their minds? Externalist challenges for using AI in forensic psychiatry (2023)Out of their minds? Externali…Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic (2023)Ethical assessments and mitig…Assessing and Mitigating Bias in Artificial Intelligence: A Review (2023)Assessing and Mitigating Bias…An AI Bill of Rights: Implications for Health Care AI and Machine Learning—A Bioethics Lens (2022)An AI Bill of Rights: Implica…Minority Faculty Development Programs and Underrepresented Minority Faculty Representation at US Medical Schools (2013)Physicians and Implicit Bias: How Doctors May Unwittingly Perpetuate Health Care Disparities (2013)Racial and Ethnic Disparities among Enrollees in Medicare Advantage Plans (2014)A Review of Mental Health and Mental Health Care Disparities Research: 2011-2014 (2018)Beyond the cultural myth of medical meritocracy (2019)A Call to Action: Black/African American Women Surgeon Scientists, Where are They? (2020)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Development and Field Testing of a Long-Term Care Decision Aid Website for Older Adults: Engaging Patients and Caregivers in User-Centered Design (2019)How do you know what you want? Service user views on decision aids for the arts therapies (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (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)Algorithmic Bias in Education (2021)Mitigating Unwanted Biases with Adversarial Learning (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)WHO European review of social determinants of health and the health divide (2012)The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts (2015)The global landscape of AI ethics guidelines (2019)Fintech Innovations (2023)Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM (2024)Brain disorders? Precisely (2015)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Scoping studies: towards a methodological framework (2005)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Validation of the five-factor model of personality across instruments and observers. (1987)A very brief measure of the Big-Five personality domains (2003)The future of employment: How susceptible are jobs to computerisation? (2016)
this work references cited by second hop

References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2017Standards for UNiversal reporting of patient Decision Aid Evaluation studies: the development of SUNDAE Checklist204 cited
  • 2015Bias, Black Lives, and Academic Medicine102 cited

Cited by

  • 2024The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities – a scoping review41 cited
  • 2023Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic26 cited
  • 2022An AI Bill of Rights: Implications for Health Care AI and Machine Learning—A Bioethics Lens23 cited
  • 2023Assessing and Mitigating Bias in Artificial Intelligence: A Review18 cited
  • 2023Out of their minds? Externalist challenges for using AI in forensic psychiatry15 cited
  • 2025Distinct predictors of positive attitudes toward artificial intelligence and general technology: big five traits, gender, and age14 cited
  • 2025Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review13 cited
  • 2025Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis12 cited

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