Insights on licensed, attributed AI access to authoritative content.
Reference publishers do not just need authoritative content. They need content whose trust signals — versioning, attribution, corrections, retractions and rights — can survive inside AI systems. This article explains why machine-readable trust is becoming a strategic requirement for scholarly, medical and legal publishers.
Francois-Xavier Bioul
9 min read
AI systems can generate answers at scale. What they cannot do is prove what they used, when, and under which rights. As EU AI Act deadlines approach and copyright litigation reaches systemic scale, the industry faces an infrastructure gap — not a legal one. Here's what closing it requires.
As AI replaces search, publishers need more than trusted content. They need trusted evidence: proof of how their content is used, cited, governed, and monetized inside AI systems.
