TransparencyAccountabilityExplainabilitycs.CY
Enhancing Transparency and Traceability in Healthcare AI: The AI Product Passport
A. Anil Sinaci, Senan Postaci, Dogukan Cavdaroglu, Machteld J. Boonstra, Okan Mercan, Kerem Yilmaz, Gokce B. Laleci Erturkmen, Folkert W. Asselbergs, Karim Lekadir
December 4, 2025
arXiv.org
Key Takeaways
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Documentation across the entire AI lifecycle improves accountability: The AI Product Passport tracks healthcare AI systems from initial study design through deployment and monitoring, creating a complete record that enables regulators and healthcare providers to understand how and why an AI tool makes decisions—addressing a major gap in current healthcare AI transparency.
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Stakeholder input shaped a practical framework: The research involved 21 diverse stakeholders (including clinicians, regulators, and AI developers) in co-creation, resulting in a system that generates customizable reports for different audiences rather than one-size-fits-all documentation, making the information actually usable for doctors, patients, and compliance teams.
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Alignment with emerging regulations is built-in: The AI Product Passport was explicitly designed to meet requirements from the EU AI Act and FDA guidelines, meaning healthcare organizations adopting this framework can more easily demonstrate compliance with evolving regulatory standards rather than scrambling to retrofit documentation later.
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Machine-readable records enable automated oversight: By generating both human-readable and machine-readable reports with automated provenance tracking, the system allows for systematic auditing and monitoring of AI performance over time, rather than relying on manual review or static documentation that becomes outdated.
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Open-source design promotes broader adoption: The platform's open-source implementation on GitHub means healthcare institutions and AI developers can access and adapt the framework without proprietary barriers, potentially accelerating industry-wide improvements in AI transparency and traceability.