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Proposals for Third-Party AI Assessment in 2026

Proposals for Third-Party AI Assessment in 2026

As concern about risks and harms related to AI systems continue to grow, a growing chorus of policymakers, industry leaders, and advocates have called for independent AI assessments. This explainer provides an overview of recent proposals for third-party assessment in the United States, including state and federal legislation, executive actions, and industry proposals.
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  • Getting Third-Party AI Assessment Right

    Getting Third-Party AI Assessment Right

    Having third parties assess AI systems might seem like common sense, but crafting effective policies toward this goal can be devilishly tricky. A poorly-constructed ecosystem for third-party assessment could easily fail to consider the most consequential mechanisms of risk, neglect the AI harms that most impact people, or do more to protect AI companies than people.
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  • Not All Guardrails Are Created Equal: Comparing Content Safety and Copyright Filtering
    Woman on phone by plant.

    Not All Guardrails Are Created Equal: Comparing Content Safety and Copyright Filtering

    As courts and policymakers work through questions about chatbot liability, they should be wary of analogies that flatten meaningful technical differences. Copyright filtering and safety intervention share real challenges around ambiguity and evasion, but they diverge in what each control must assess, how each manifests over the course of a conversation, and how much can be verified from the outside.
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