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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.
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.
Coming Soon
Analyst
Resources to help analysts evaluate AI-powered tools, understand governance requirements, identify appropriate use cases, and apply responsible AI practices to data analysis and decision-making activities.
Data Scientists
Guidance on developing, testing, and validating AI models, along with resources for model documentation, risk assessment, governance reviews, and responsible AI considerations throughout the model lifecycle.
Developers
Tools and guidance to support the design, development, and deployment of AI-enabled applications, including architecture considerations, security requirements, governance processes, and best practices for responsible AI implementation.