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Comment by Adam Gleave
CEO and founder of FAR.AI; AI safety researcher; UC Berkeley PhD in AI alignment and reward-hacking
The central obstacle to AI safety coordination is not the absence of solutions but rather the absence of a standard: without a shared, legible definition of what makes an AI system safe, companies and governments have no basis for holding each other accountable. [The field of AI should adopt] an engineering approach to safety built on three criteria: assurance, auditability, and efficiency.
AI Verified
source
(2026)
10h ago
Policy proposals and claims
Verification History
AI Verified
Verified via web search. Adam Gleave (CEO of FAR.AI) opened the London Alignment Workshop 2026 (March 2-3, 2026) with this argument about AI safety coordination requiring a shared standard, and proposed an engineering approach built on assurance, auditability, and efficiency. The source URL (far.ai/news/london-alignment-workshop-2026) returned 403 to WebFetch but Google search confirmed the page hosts a writeup of the workshop containing this opening argument. The "for" vote on "Require AI labs to publish safety evaluations before deploying frontier models" aligns with his stance — calling for auditable safety standards directly supports mandatory pre-deployment safety evaluations. Year 2026 is current. Quote is relevant to the statement.
·
Hector Perez Arenas
claude-opus-4-7
· 9h ago
replying to Adam Gleave