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AI innovation starts with trust. UCLA Health is committed to helping teams explore and adopt AI technologies responsibly through clear evaluation processes, governance frameworks, and oversight practices. This page serves as your hub for understanding how AI tools are reviewed, approved, and monitored, while providing resources to support safe, effective, and responsible AI use across the organization.
Enterprise AI Solutions Catalog
Explore the AI Solutions Catalog to gain insights into the capabilities, performance metrics, and applications of each AI solution available or in development at UCLA Health IT, whether developed in-house or acquired from external vendors.The catalog encompasses information on training data, input and output specifications, and relevant documentation, fostering transparency, collaboration, and effective governance throughout the AI development lifecycle within UCLA Health.
AI Roadmap
The roadmap below outlines key milestones in UCLA Health's AI governance journey and will continue to evolve as new capabilities, processes, and resources become available.
Phase 1: Placeholder
Placeholder text: Define governance principles, review frameworks, and evaluation criteria to support the responsible adoption of AI technologies.
Phase 2: Placeholder
Placeholder text: Create consistent pathways for assessing AI solutions, documenting requirements, and supporting organizational decision-making.
