Last updated: Feb 07, 2025
Description
AI model risks are socio-technical, so their testing needs input from a broad set of disciplines and diverse testing practices.
Why is lack of testing diversity a concern for foundation models?
Without diversity and the relevant experience, an organization might not correctly or completely identify and test for AI risks.
Parent topic: AI risk atlas
We provide examples covered by the press to help explain many of the foundation models' risks. Many of these events covered by the press are either still evolving or have been resolved, and referencing them can help the reader understand the potential risks and work towards mitigations. Highlighting these examples are for illustrative purposes only.