AI Governance in Biomedical Research

Abstract

Managing AI Risk, Transparency and Accountability in Biomedical Research

• Overview of AI applications in biomedical research such as diagnostics, personalized medicine, and patient data analysis.
• Potential risks AI poses in biomedical research, such as algorithmic biases, data privacy concerns.
• EU AI Act’s risk-based approach, and classification of AI systems into categories of high, medium, and low risk.
• EU AI Act’s emphasis on transparency, particularly regarding the explainability of AI models in pre-clinical research.
• EU AI Act’s accountability requirements, such as human oversight, traceability of AI decisions.