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Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability

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References

2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
2019Artificial Intelligence in Society485 cited
2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities274 cited
2022Addressing fairness in artificial intelligence for medical imaging204 cited
2020An empirical characterization of fair machine learning for clinical risk prediction165 cited
2021A Proposed Framework on Integrating Health Equity and Racial Justice into the Artificial Intelligence Development Lifecycle108 cited
2020The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies101 cited

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2025The ethics of data mining in healthcare: challenges, frameworks, and future directions32 cited

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