Blog

Insights on licensed, attributed AI access to authoritative content.

ALA's AI Vendor Checklist Turns Procurement Into an Audit

ALA's new AI guidance gives libraries a 10-item vendor review checklist covering logging, training use, retention and audit rights. For vendors and publishers selling into libraries, most items are still answered with policy, not proof.

Francois-Xavier Bioul Aug 10, 2026 6 min read

AI Disclosure Is Not an Audit Trail for STM Publishers

Scientific publishers are tightening AI disclosure policies, but disclosure alone cannot reconstruct how claims, citations, figures or review decisions were produced. STM publishers need a second layer: evidence records that make AI-assisted editorial workflows observable — starting where disclosure fails first, with citations.

Francois-Xavier Bioul

Aug 7, 2026 8 min

AI Transparency Law Should Regulate Evidence That Survives Model Change

Anthropic's latest policy position highlights a larger problem for publishers and rights holders: static AI disclosure rules can become obsolete as models change. Future-proof transparency should focus less on technical architecture and more on durable, rights-aware evidence of content usage.

Francois-Xavier Bioul

Aug 5, 2026 11 min

AI Training, Competing Products, and Copyright: What the Ross Appeal Means for Publishers

The Third Circuit's review of Thomson Reuters v. Ross Intelligence is not only about whether AI training can qualify as fair use. It exposes a sharper commercial question: should content that improves an authorized product be governed like content used to build a competing substitute?

Francois-Xavier Bioul

Aug 3, 2026 7 min

AI Licensing Is Not Stuck on Copyright. It Is Stuck on the Long Tail.

Anthropic tied a $21.6bn Australian investment to copyright clarity, arguing the "long tail" of small rights holders can't be licensed one deal at a time. Canberra refused a shortcut anyway. That leaves the operational question open — and some organisations are already answering it.

Francois-Xavier Bioul

Jul 31, 2026 6 min

Usage Reporting in AI Licensing Deals: Who Audits the Number?

Folha de S.Paulo settled its OpenAI lawsuit in May 2026 — no financial terms disclosed. Cloudflare's new Pay Per Use model and Microsoft's Publisher Content Marketplace both promise usage-based payment instead. Neither answers who audits the number.

Francois-Xavier Bioul

Jul 28, 2026 11 min

AI Content Licensing Benchmark: Why Usage Data Decides Value

The first AI licensing deals are becoming market reference points while their terms remain confidential. The real benchmark question is not the headline price. It is who controls the usage data behind it — and whether publishers can verify the buyer’s number.

Francois-Xavier Bioul

Jul 27, 2026 9 min

AI Display Deals Need Usage Evidence: The Publisher Meter

Display deals are not just another AI licensing format. They move publisher value into the AI answer itself. But when the platform controls the interface, the model and the logs, usage reporting may still leave publishers dependent on someone else’s meter.

Francois-Xavier Bioul

Jul 24, 2026 9 min

AI’s impact on the future of reading

Responding to The Atlantic's cover story on the reading crisis: why an LLM, used well, isn't a summary machine that replaces books but an on-ramp back into them.

Jim Bryant

Jul 22, 2026 2 min

Retrieved Is Not Cited: Why AI Visibility Fails Publishers

AI search breaks the old visibility model. A source can be retrieved without being cited, cited without being clicked, and used without being measured. For reference publishers, the next question is not only “are we visible?” but “can we prove how our content was used?”

Francois-Xavier Bioul

Jul 22, 2026 10 min

AI Publishers’ Missing Proof: Why Legal Presumptions Need Usage Records

The Darcos bill exposed the right problem and the missing layer. A legal presumption can shift who must prove AI content use. It cannot, by itself, produce the record that makes proof possible. Publishers need rights-aware AI usage records that connect content, access, rights and evidence.

Francois-Xavier Bioul

Jul 20, 2026 10 min

Machine Readership: The Reading Crisis Publishers Cannot See

The reading crisis is real. But reference publishers face a stranger problem: their content may be read more than ever, just not by humans. Medical, legal and scholarly catalogues can be used by AI systems without clicks, sessions or dwell time. That is why machine readership needs its own record.

Francois-Xavier Bioul

Jul 17, 2026 10 min