Why Most Fairness Metrics Don't Work in Healthcare AI/ML

While most existing fairness metrics aren’t appropriate to assess algorithms that inform population health decisions, healthcare organizations still have a responsibility to ensure their algorithms help fairly distribute limited resources. Learn about a new fairness metric developed to address the unique challenges of assessing fairness in a healthcare setting: Group Benefit Equality (GBE). With GBE, healthcare organizations now have a fairness metric to ensure that their predictive models reduce health disparities rather than exacerbate them.

Read the paper to learn: 

  • The existing problem with measuring fairness
  • What an appropriate fairness metric must address
  • About Group Benefit Equality (GBE), the most ideal fairness metric for population health AI/ML

Read the White Paper

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Why Most Fairness Metrics Don't Work in Healthcare AI/ML

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