The Biggest Questions About AI
The map · 4 Power · 4.4 International coordination and verification · 4.4.4

Interoperability

Can different national regulatory systems recognize common evaluations, audits, and safety standards?

Mutual recognition of evals and audits is the trade-friction question: without it, compliance fragments by jurisdiction; with it, the strictest regime quietly sets the global floor (or the loosest one erodes it).

View on the map → · Open in Browse →

What changed
January–August 2026 · swept August 3, 2026 · editorial review pending
01

Mutual recognition now has an institution-building effort behind it: Brundage's AVERI aims to make third-party frontier audits rigorous and universal enough for jurisdictions to recognize each other's assurance — against the warning that marketplace auditing recreates credit-rating-agency incentives and could institutionalize a false floor. China entered the standards contest too, proposing agent-interoperability and mutual-trust standards at WAIC.

Recent thinking
4 featured from 7 tracked · January–August 2026 · all 7 chronologically →
Miles Brundage · Miles's Substack · 15 Jan 2026 essay
The Launch of AVERI
AVERI is a 501(c)(3), US-based non-profit think tank that is trying to figure out how to make third-party auditing of frontier AI effective and universal.

Announces the institution-building effort at the center of the mutual-recognition question: making third-party frontier audits rigorous and universal enough that jurisdictions could actually recognize each other's assurance.

Keller Scholl · Transformer · 9 Jul 2026 essay
Don't let independent AI audits provide a false sense of safety
Such insulation is fanciful. Vaccines, for example, are safe, but the facts have not protected them from politics.

The skeptical case against the audit ecosystem interoperability would rest on: marketplace-based auditing recreates credit-rating-agency incentives, so mutually recognized audits could institutionalize a false floor.

Geopolitechs · 17 Jul 2026 essay
China's CAC releases 'Global Cooperation Initiative on Agent Mutual Trust, Interconnection, and Interoperability'
We hope to build broad consensus and work with global partners to foster an open, trustworthy, safe, and inclusive agent ecosystem.

China's first systematic position on agent interoperability — a bid to set the trust and interconnection standards for AI agents internationally, extending the interoperability contest from evals and audits to agent infrastructure itself.

Stephanie Ifayemi & Jacob Pratt · Partnership on AI · 11 Feb 2026 report
Six AI Governance Priorities for 2026
Define mutual recognition: Establish processes for governments to recognize each other's certification, audit requirements, and evaluation regimes.

Puts mutual recognition of certifications, audits, and evaluation regimes explicitly on the 2026 agenda, arguing coordination can make divergent national approaches complementary rather than fragmenting.

Additional relevant discussion (3)
Scaling Laws: Why AI Needs Independent Auditors, with Miles Brundage — Rozenshtein & Brundage · Lawfare (podcast) · 14 Apr 2026
The AI Governance Arbitrage — Tshilidzi Marwala · United Nations University · 6 Mar 2026
FCC’s Adam Chan on the New Robot Rule — Jordan Schneider, Aqib Zakaria, and Adam Chan · ChinaTalk · 6 Aug 2026
Foundational reading (2)Strengthening International Cooperation on AIBrookings/CEPS Forum · 2021Interoperability in AI Safety GovernanceChin et al., UNU · 2026
Previous4.4.3 InstitutionsNext4.4.5 Representation