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AI Assurance Is Moving Toward Executable Evidence
GhostDrift Mathematical Institute has published an international press release announcing a significant technical milestone: the release of a Lean 4 formal proof artifact for ADIC — Advanced Data Integrity by Ledger of Computation. The press release introduces ADIC as a foundational AI assurance technology designed to turn static governance claims into replayable, third-party-verifiable evidence. The Shift Toward Verification As AI systems move into high-responsibility domain
kanna qed
5月16日読了時間: 1分


AI Assurance Should Not Be a PDF. It Should Be Executable Evidence.
AI governance is entering a new phase. As AI systems move into regulated and high-responsibility environments, the burden is shifting from explaining AI decisions to proving how those decisions can be verified after the fact. AI assurance is becoming an infrastructure problem — not just a documentation problem. For years, organizations have tried to make AI trustworthy through policies, reports, audit documents, risk assessments, and explanations. These are necessary, but the
kanna qed
5月16日読了時間: 2分
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