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Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling
16 references·0 citing·46 second hop
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling (2023)Multi-task learning with dynamic re-weigh…Algorithmic fairness in computational medicine (2022)Algorithmic fairness in compu…A Review on Fairness in Machine Learning (2022)A Review on Fairness in Machi…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Fairness in Deep Learning: A Computational Perspective (2020)Fairness in Deep Learning: A …Identifying and Correcting Label Bias in Machine Learning (2019)Identifying and Correcting La…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Bias Mitigation Post-processing for Individual and Group Fairness (2019)Bias Mitigation Post-processi…Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (2018)Proceedings of the 2018 AAAI/…FairGAN: Fairness-aware Generative Adversarial Networks (2018)FairGAN: Fairness-aware Gener…A Reductions Approach to Fair Classification (2018)A Reductions Approach to Fair…On Fairness and Calibration (2017)On Fairness and CalibrationFairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017)Fairer machine learning in th…Achieving Equity in an Evolving Healthcare System: Opportunities and Challenges (2016)Achieving Equity in an Evolvi…2013 IEEE International Conference on Big Data (2013)2013 IEEE International Confe…The Price of Fairness (2011)The Price of FairnessMoving Upstream (2008)Moving UpstreamA theory of justice original editionThe Bargaining Problem (1950)On Economic Inequality (1973)On the Efficiency-Fairness Trade-off (2012)Information Sharing on Retail Platforms (2018)Firms’ green R&D cooperation behaviour in a supply chain: Technological spillover, power and coordination (2019)US Socioeconomic and Racial Differences in Health: Patterns and Explanations (1995)Relationships Between Poverty and Psychopathology (2003)Lifetime Effects: The High/Scope Perry Preschool Study Through Age 40 (2005)Racial and Ethnic Disparities in Pain: Causes and Consequences of Unequal Care (2009)STRUCTURAL RACISM AND HEALTH INEQUITIES (2011)A Life Course Perspective on How Racism May Be Related to Health Inequities (2012)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)Pandora's Hope: Essays on the Reality of Science Studies (2000)CRITICAL QUESTIONS FOR BIG DATA (2012)Fairness in Machine Learning: Lessons from Political Philosophy (2017)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)The Ethics of Artificial Intelligence (2023)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Trust and reliance on AI — An experimental study on the extent and costs of overreliance on AI (2024)Certifying and Removing Disparate Impact (2015)Equality of Opportunity in Supervised Learning (2016)The ethics of algorithms: key problems and solutions (2021)Trustworthy AI: A Computational Perspective (2022)Data collection and quality challenges in deep learning: a data-centric AI perspective (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (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)A survey of results on mobile phone datasets analysis (2015)Big data preprocessing: methods and prospects (2016)Big Data technologies: A survey (2017)AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)The Measure and Mismeasure of Fairness (2018)Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Fairness in recommender systems: research landscape and future directions (2023)Mental-LLM (2024)
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References

  • 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
  • 20132013 IEEE International Conference on Big Data1,390 cited
  • 2011The Price of Fairness675 cited
  • 2022A Review on Fairness in Machine Learning596 cited
  • 2017Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data511 cited
  • 2017On Fairness and Calibration509 cited
  • 2008Moving Upstream489 cited
  • 2018FairGAN: Fairness-aware Generative Adversarial Networks379 cited
  • 2018A Reductions Approach to Fair Classification364 cited
  • 2020Fairness in Deep Learning: A Computational Perspective216 cited
  • 2018Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society201 cited
  • 2016Achieving Equity in an Evolving Healthcare System: Opportunities and Challenges176 cited
  • 2022Algorithmic fairness in computational medicine170 cited
  • 2019Identifying and Correcting Label Bias in Machine Learning152 cited
  • 2019Bias Mitigation Post-processing for Individual and Group Fairness

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