Cross-Border AI Verification Seeks Trade Secret Protection

The Dilemma of AI Licensing Abroad

When a U.S. AI developer licenses its system internationally, it often encounters a multifaceted problem: customers demand independent testing, regulators require evidence of safeguards, and the developer needs to protect its model weights, training records, and proprietary techniques IPWatchdog. Providing extensive information for compliance can inadvertently expose critical assets that underpin the company's value. The core questions revolve around technical compliance, lawful use of materials, and the conditions under which evidence can be examined, with a favorable answer to one not resolving the others IPWatchdog.

This tension highlights the need for a mechanism that allows for meaningful oversight without forcing policymakers to choose between robust regulation and the protection of intellectual property (IP) IPWatchdog. The proposed framework aims to create a balance, ensuring that compliance is verifiable while safeguarding the sensitive information that constitutes a company's trade secrets.

“AI regulation should not force policymakers to choose between meaningful oversight and protection of IP.”

— IPWatchdog

Introducing the AI Assurance and Access Compact

One potential solution is an International AI Assurance and Access Compact, built around the principle of “verifiable reciprocity” IPWatchdog. Under this proposed arrangement, participating jurisdictions would recognize specific compliance findings in exchange for comparable verification obligations. This would also include commitments to fund the necessary regulatory capacity. The primary benefit would be a reduction in duplicate compliance work, rather than unrestricted market access IPWatchdog.

The operational tool of this Compact would be a modular “assurance passport.” This passport would serve as a verifiable record of specified findings, linked to a particular model version, responsible operator, configuration, and intended use. Modules could cover aspects such as security testing, documented limitations, incident procedures, and the process used to assess relevant IP obligations IPWatchdog. For instance, a receiving authority might recognize security testing performed in one jurisdiction while independently examining local-language performance or discrimination risks.

Lessons from International Treaties

The development of such a compact draws insights from various international agreements. The Uruguay Round agreements, which established the World Trade Organization (WTO), demonstrated how obligations and reciprocal benefits can be negotiated together IPWatchdog. Arms-control instruments, like the 1972 SALT I Interim Agreement, provided for national technical means of verification and commitments against interference, though measuring software risk differs significantly from counting missile launchers IPWatchdog.

More directly relevant is the Chemical Weapons Convention’s Confidentiality Annex, which sets a precedent for limiting information collection and securing sensitive material during compliance verification. This suggests that for AI, evidence could be examined under controlled conditions rather than automatically demanding public disclosure of proprietary technology IPWatchdog. Additionally, Article 10 of the Montreal Protocol, which links implementation with financing for developing countries, raises questions about funding independent laboratories and evaluator training for AI assurance.

Confidentiality as Part of Verification

Protecting confidentiality is integral to the verification process. In the United States, federal trade-secret protection under 18 U.S.C. Section 1839(3) requires reasonable secrecy measures and independent economic value derived from the information's secrecy IPWatchdog. Globally, Article 39(2) of the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) protects qualifying undisclosed information against acquisition, use, or disclosure contrary to honest commercial practices. However, neither of these automatically establishes a complete confidentiality regime for AI regulators IPWatchdog.

The proposed Compact would incorporate measures like restricted-access testing, limits on copying, purpose-specific permissions, and secure retention of evidence. Inspectors would receive only the information necessary for their specific inquiry, not a blanket right to collect every proprietary asset. While these controls aim to prevent excessive secrecy from hindering scrutiny, they also preserve lawful access to relevant evidence through courts or independent reviewers under protective procedures IPWatchdog. A developer could contest an overbroad demand without controlling the investigation's outcome.

What to Watch: Challenges and Implications

While the modular assurance passport design could reduce repeated work, it would introduce new accreditation costs and potential disputes regarding the equivalence of findings across jurisdictions IPWatchdog. Its efficacy would depend on whether accepted findings remain relevant to the actual deployment context. Furthermore, it is crucial to understand that passing technical safety testing does not resolve IP disputes concerning the model's training materials IPWatchdog. Similarly, licensed inputs do not guarantee safe performance.

For legal counsel, key questions will include who receives the information, whether subcontractors can access it, if a laboratory may reuse it, and which disclosure or public-records rules apply. A simple confidentiality label will not suffice to answer these complex questions, underscoring the need for a robust and detailed framework IPWatchdog. The success of such an agreement will hinge on attracting broad participation and producing dependable assessments.

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