🎥 Statistical Methods for Health Equity Webinar: Stephen Pfohl🎥

We were delighted to host Stephen Pfohl, Senior Research Scientist at Google Research, for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Stephen shared insights from his research into the challenges of evaluating algorithmic fairness in clinical settings, highlighting that fairness assessments are never one-size-fits-all.

Drawing on examples from his work, Stephen emphasized that evaluations of fairness must be grounded in a clear understanding of context: the intended use of an AI system, the target population, and the assumptions about how data is generated and measured. Without this specificity, fairness metrics can mislead rather than inform.

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