Part 5/10:
He advocates for organizations to strike a balanced approach: leveraging data for improved patient care while respecting individual privacy rights.
Mitigating Bias in Healthcare AI
Bias remains one of the most pernicious issues. Wowski asserts AI itself isn't biased—it's the humans who create and train the models who introduce biases. The core challenge is selecting representative data, choosing appropriate features, and testing models rigorously.
He introduces simple but effective tools, like confusion matrices, to compare model accuracy across different demographic groups—ensuring fairness. He mentions ongoing efforts from big tech firms to develop modules that assist in bias detection but emphasizes the importance of diligence and openness to challenge assumptions.