Part 6/10:
An illustrative example is a UK model for predicting heart attack risks that failed to account for different symptoms in women, leading to disparities in diagnosis. Such failures spotlight the necessity for comprehensive testing and continuous review.
Responsible Implementation of AI in Healthcare
Wowski advocates that AI in healthcare should be used where it adds clear value. He suggests that AI's deployment should be governed by a risk management framework, which classifies applications into low, moderate, or high risk.
For high-stakes areas—like diagnosis or critical decision-making—human oversight ("human in the loop") is essential. Doctors and healthcare providers must ultimately validate AI-generated insights, ensuring patient safety remains the priority.