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132: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
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2025/4/11
Digital Pathology Podcast
AI Chapters
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Introduction and post-USCAP 2025 reflections
Overview of AI and ethics paper from Modern Pathology
What does it mean to be a 'data steward' in pathology?
Core ethical principles: autonomy, beneficence, justice, and more
Types of bias in AI systems: data, sampling, algorithmic, labeling
Temporal and feedback loop bias examples in pathology
FDA involvement and global guidelines for ethical AI
Bias mitigation: from diverse datasets to ongoing monitoring
The FAIR principles for responsible data use
AI development & reporting frameworks: QUADAS, CONSORT, STARD
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