Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

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Toward Trustworthy AI: How to Verify Safety, Fairness, and Privacy

Machines and software are changing fast, and people worry about their effects.
For developers to win public trust they must make clear, testable claims — not only promises.
That means showing simple evidence others can check.
The report suggests steps organizations, governments, and civil groups can take to make claims verifiable, and to show work on safety, fairness, and privacy.
Some steps are about rules and institutions, others is about tools and hardware.
When companies share logs, tests, or designs outsiders can spot problems early.
This builds real trustworthy systems so customers feel safer and society benefits.
The idea is modest: make claims that can be checked allow independent review and improve over time.
Small changes in how things are reported will make a big difference, and anyone can follow along.
It won't solve all problems overnight but its a clear path toward better, more honest technology.