In an opinion piece published Oct 16, 2026, Samuel Vance-Law, head of research at the Decentralization Research Center, contends that the auditing provisions of the White House's voluntary AI safety accord suffer from a critical weakness: auditors will only see what companies choose to show them.
"Auditors should be able to choose what they test," Vance-Law writes, arguing that genuine oversight requires the freedom to probe areas a company might prefer to keep opaque. Without that independence, he suggests, audits risk becoming a public relations exercise rather than a meaningful assessment of risk.
The piece, published by CoinDesk, does not present counterarguments from industry or government, but its central critique points to a broader debate about how to balance corporate accountability with the pace of AI development. The White House accord, which secured voluntary commitments from leading AI developers, has been presented as an interim safety measure.
Vance-Law's argument raises questions about whether the current framework provides sufficient transparency to justify public trust in the safety of advanced AI systems. The piece is positioned as an opinion, not reported news, and reflects the author's view that stronger structural safeguards are needed.
The article adds to a growing chorus of voices calling for more rigorous, independent testing of AI models before their public deployment.