Mini-Workshop: Fair Machine Learning For Health Care

  • Palestrante: William La Cava – Harvard Medical School
  • Sala: A-101-0
  • Data: 07/12/2023
    • 14hs: Palestra William La Cava
    • 15:30hs: Mesa Redonda sobre o tema Explicabilidade e Equidade

The field of Fair Machine Learning attempts to guarantee, in some
specific sense, that a machine learning model does not cause harm to a
particular subpopulation. Predictive models are increasingly used to
support clinical decision making, giving rise to many fairness
concerns.

This talk will break down some of the opportunities and
challenges for fair machine learning in health, especially the role of
group-wise calibration and intersectional group definitions.

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