Part 4/10:
He points out that many biases stem from the very data used to train models—if the data doesn't adequately represent all demographics, the AI's outcomes will be skewed.
Addressing Data Privacy
Privacy concerns are paramount. Wowski discusses that healthcare's heavy regulation—like HIPAA in the US—sets a framework for data protection. However, he emphasizes that transparency about data usage is critical. Patients should be informed about how their data is collected and used, and organizations must ensure third-party vendors also uphold privacy standards.
Key strategies include:
Clear notices of privacy practices
Obtaining informed consent for specific use cases
Monitoring data sharing post-collection
Implementing transparent data governance practices