Overview
To ensure responsible use of AI, UCSF complies with UC policies, in addition to state and federal regulations, and AI frameworks.
AI Policies and Regulatory Resources
- UCSF: Data Classification and Data Sharing Policies
https://scuba.ucsf.edu/data-and-code-sharing - UCSF: Data Protection and Large Language Models
https://it.ucsf.edu/standards-and-guidelines/data-protection-and-large-language-models - UCSF: Data Classification Standard
https://it.ucsf.edu/sites/default/files/2020-08/UCSF%20Data%20Classification%20Standard%2008-09-19.pdf
See also:
The Citris Policy Lab, headquartered at UC Berkeley, tracks updates to AI-related laws and regulations on a monthly basis: Database of Federal & California AI-related legislation
See also:
- White House:Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence (Oct. 2023)
- White House: Blueprint for an AI Bill of Rights
- US Dept of Health and Human Services: Artificial Intelligence at HHS: Statues and Authorities
- US FDA: Artificial Intelligence and Machine Learning (AI/ML) Software as a Medical Device Action Plan
- US Cybersecurity & Infrastructure Security Agency: Roadmap for Artificial Intelligence
- California Attorney General: Inquiry into Racial and Ethnic Bias in Healthcare Algorithms
The Trustworthy AI framework, published by the US Dept. of Health and Human Services, guides the UCSF process for safe and ethical AI development and deployment.
See also:
- US National Institutes of Standards and Technology (NIST) AI Risk Management Framework
[See also: Risk Management Framework Explainer Video ] - The European Union's Guidelines on Ethics in Artificial Intelligence
- Coalition for Health Care AI's Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare