132: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
Send us a text In this episode of the Digital Pathology Podcast, I explore the ethical and bias considerations in AI and machine learning through the lens of pathology. This is part six of our special seven-part series based on the landmark Modern Pathology review co-authored by the UPMC group, including Matthew Hanna, Liam Pantanowitz, and Hooman Rashidi. From data bias and algorithmic bias to labeling, sampling, and representation issues, I break down where biases in AI can arise—and what w...