The integration of AI into healthcare holds both promise and peril. While AI algorithms can improve diagnosis and treatment, they also risk perpetuating existing health disparities if biases aren't addressed.

This talk will explore:

The dangers of algorithmic bias, include misdiagnosis, delayed treatment, and poorer health outcomes for marginalized groups.

How bias can creep in at every stage of AI development, from flawed data to the metrics used for evaluation.

Real-world examples demonstrate the urgent need for change.

A potential solution: Althical, a platform that puts physicians at the center of AI development to create bias-reducing and explainable solutions.