Lack of AI agent transparency risk for AI
Description
Lack of AI agent transparency is due to insufficient documentation of the AI agent design, development, evaluation process, absence of insights into the inner workings of the AI agent, and interaction with other agents/tools/resources.
Why is lack of ai agent transparency a concern for foundation models?
Transparency is important for AI ethics and guiding appropriate use of AI agents. Insufficient documentation might make it more difficult to govern AI agent usage, evaluate risks, to modify, or reuse the agents. Additionally, transparency regarding how the agent’s risks were determined, evaluated, and mitigated play a role in identifying an agent’s suitability and evaluating its trustworthiness. The lack of standardized requirements might limit disclosure as organizations protect trade secrets and try to limit others from copying their agents.
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 toward mitigations. Highlighting these examples are for illustrative purposes only.