Fall Reading on AI Governance

Looking to add some academic heat to your fall reading list? The Duke Health AI Evaluation & Governance Program is spotlighting our latest research on algorithm oversight, LLM evaluation, fairness, and safety in healthAI. Whether you are an informaticist, clinician, policy nerd, or governance geek, this curated collection of papers offers practical frameworks, regulatory foresight, and real-world applications to inform and inspire your work.

Featured reads include:
NPJ Digital Medicine | An evaluation framework for ambient digital scribing tools in clinical applications https://rdcu.be/exHS4
JAMIA | Application of unified health large language model evaluation framework to In-Basket message replies
http://bit.ly/41E5xC6
Annual Reviews | Algorithm-Based Clinical Decision Support: Evolving Regulatory Landscape and Best Practices for Local Oversight https://bit.ly/3JNpwrV

For more Duke Health AI Evaluation & Governance publications, visit: https://healthaigovernance.duke.edu/our-work/publications

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