AI transparency in journalism: disclosing AI use

According to the Columbia Journalism Review (July 23, 2026), journalists should adopt practical, product-level transparency that names the AI tools used, shows the prompts or queries entered when feasible, and explains how any AI output was edited or rejected. Columbia Journalism Review

• On July 23, 2026, the Columbia Journalism Review column by Anika Collier Navaroli listed three concrete types of AI use in reporting: research/fact-checking, writing aids (autocomplete/spellcheck), and social media drafting.
• In May 2026, The Atlantic described generative AI as “a slightly smarter thesaurus, ” a use-case the CJR author also endorses for selective tasks.
• The Columbia Journalism Review (July 23, 2026) recommends disclosures that name products, show prompts when relevant, and state whether AI outputs were used as-is or heavily edited.

Answer: The Columbia Journalism Review described pragmatic disclosure practices and illustrated them with a first-person walkthrough of three AI uses. According to the Columbia Journalism Review (July 23, 2026), columnist Anika Collier Navaroli documented how she used AI for research/fact-checking, for writing-process aids like spellcheck and autocomplete, and for social media drafts.

According to the Columbia Journalism Review (July 23, 2026), Navaroli tested Google’s Gemini for sourcing during fact-checking and found it could hallucinate, so she ejected falsehoods from her draft; she also described using Google Docs autocomplete and ChatGPT as “a slightly smarter thesaurus, ” quoting The Atlantic (May 2026).

According to the Columbia Journalism Review (July 23, 2026), Navaroli argued that “radical transparency keeps journalists honest and avoids embarrassing after-the-fact disclosures, ” and she proposed practical options such as naming tools, showing prompts, or using small icons that link to fuller policy pages.

Answer: Newsroom researchers should instrument their qualitative workflows so AI use is captured, auditable, and reportable. According to the Columbia Journalism Review (July 23, 2026), that means naming the product, saving the prompt or query, and documenting whether the AI output was used verbatim, edited, or discarded.

According to the Columbia Journalism Review (July 23, 2026), an editor can require a one-line disclosure that names the tool and the role it played, or a linked policy page that lists product names and example prompts; CJR suggested icons linking to fuller policies as one practical design.

According to the Columbia Journalism Review (July 23, 2026), treat AI-sourced claims like any other secondhand source: verify independently, and record the verification steps in the research log.

Answer: Practical, product-level disclosures implement the Columbia Journalism Review’s July 23, 2026 guidance and help readers evaluate reporting.

According to the Columbia Journalism Review (July 23, 2026), start by tracking three elements: tool name, prompt or query summary, and the editorial action taken on the AI output. Use those fields to produce short in-article disclosures or linked policy pages.

If you want to pilot an auditable disclosure workflow, Evidano can capture prompts, transcripts, and editorial edits inside project records so you can produce consistent public disclosures more easily. Try Evidano for free.