The Artificial Intelligence Review Framework provides the Yale AI Governance Committee’s principles for evaluating proposed AI systems to ensure their appropriate use. It establishes a core framework for trustworthy AI, including fairness, transparency, data privacy, and human oversight. The framework includes elements of risk-based approaches, applying more rigorous scrutiny to high-risk activities like clinical care and hiring. The document includes a table of principles with key considerations as well as a table of illustrative examples of what these principles would look like in the AI tool life cycle.
