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The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies
1 references·7 citing·33 second hop
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this work references cited by second hop

References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited

Cited by

  • 2022Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19123 cited
  • 2022Conceptualising fairness: three pillars for medical algorithms and health equity76 cited
  • 2022Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor52 cited
  • 2025Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability43 cited
  • 2024The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities – a scoping review41 cited
  • 2021Health Care Research and Organization Theory28 cited
  • 2024Mitigating Bias in Clinical Machine Learning Models22 cited

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