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	Podcast:		Digital Pathology Podcast
	Episode:		132: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
	Category:		Science & Medicine
	Duration:		00:51:06
	Publish Date:		2025-04-11 10:00:00
	Description:		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 we, as medical data stewards, must do to recognize, mitigate, and avoid them.
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