Bias
Ethics and Bioethics
Ethical Issues
Bias in Epidemiological Studies
Motivational Bias
Halo Effect
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Updated: May 6, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Nicole Martinez-Martin1, Abdoul Jalil Djiberou Mahamadou2, Madelena Ng3
1Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California 94025, USA, nicolemz@stanford.edu.
Ensuring artificial intelligence and machine learning (AI/ML) models are fair and unbiased across diverse populations remains a challenge in biomedical applications. Addressing differing researcher perspectives on bias and fairness is crucial for ethical AI/ML development.
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