# Provenance and the Right to Be Untrained

As deletion and copyright claims press on trained models, demand grows for record-level data provenance and unlearning tooling that makes training corpora auditable and removable.

- Conviction: 40 / 100 (forming)
- Horizon: Emerging (watchlist)
- Tracking since: 2026-07-17T00:00:00.000Z
- Last updated: 2026-07-17T05:34:02.889Z
- Canonical: https://polylog.news/ai/trends/data-provenance-and-training-rights
- Publisher: Polylog
- Affected regions: Global

## Recent evidence

- [confirms] New Provenance Tool Traces Which Training Records Belong to a Given Author (2026-07-17): OriginBlame provides record- and token-level attribution of training data explicitly to build the 'forget set' that machine-unlearning methods require, advancing the auditable-and-removable-corpus tooling the thesis tracks.