A Cambridge workshop has proposed new standards work to establish provenance, attribution, and metrics for scholarly content used by AI systems. The meeting report outlines a framework for making AI's consumption of scholarly literature traceable and measurable — addressing one of the most urgent unresolved problems in the publisher-AI relationship: how to know when, where, and how scholarly content is being used by AI, and how to assign value to that use.

Source: Scholarly Kitchen