White House Finalizes AI Safety Framework. Nobody Knows What It Says. Transparency Remains Optional, Apparently.
The Trump administration finalized a framework this week for testing AI models for safety and cybersecurity risks after months of talks with tech industry leaders. The specifics remain opaque. What level of scrutiny models will face and what safety benchmarks they must meet are both unclear, leaving businesses, foreign governments, and the public uninformed. The White House, OpenAI, and Anthropic all declined to comment.
This illustrates what governance scholars call regulatory opacity. When a government announces a framework but refuses to disclose its contents, the mechanism of accountability breaks down. The public cannot evaluate whether the testing is adequate because the criteria themselves are classified. The lesson: a framework without transparency is not governance. It is theater with a letterhead.
The Trump administration developed the framework after months of consultation with tech industry leaders. OpenAI and Anthropic, two of the most prominent AI companies named in the discussions, both refused to comment when asked.
- Open any consumer AI tool such as ChatGPT or Claude and ask it to explain what 'model safety testing' means. The model will describe benchmarks, red-teaming, and evaluation criteria. This is what transparency looks like when someone actually bothers to explain it.
- Search for the White House AI framework document yourself. You will find press coverage but no published criteria. Note the gap between what is announced and what is disclosed.
- Write a one-paragraph summary of what you think the framework should contain, based on your own priorities. Compare your version to the vague descriptions in news coverage. You have now demonstrated more transparency than the actual government framework.