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Knowledge Base
This section offers a curated selection of up-to-date materials and research on the use of artificial intelligence in the media and beyond.
The use and ethical implications of artificial intelligence, collaboration, and participation in local Ibero-American newsrooms
The article in Frontiers in Communication explores the use of artificial intelligence and journalist–audience collaboration in 12 local Ibero-American media outlets in Brazil, Colombia, Ecuador, Spain, Mexico, Peru, and Portugal.
Researchers compare AI policies and guidelines at 52 news organizations around the world
The article from The Journalist’s Resource analyzes 45 AI guidelines issued by 26 media outlets between 2023 and 2025. It found that all outlets restrict the use of generative AI to specific approved tasks, and 43 out of 45 include mandatory disclosure of AI use. Most newsrooms allow transcription, translation, and data analysis; 30 regulate text generation, and 27 impose strict limits on image and video generation.
Measuring Journalism’s Impact — What We Know Now That We Didn’t Before
The article by the Global Investigative Journalism Network delves into various methods, approaches, and metrics that media organizations worldwide use to measure the impact of their reporting. Drawing on examples from Agência Mural de Jornalismo das Periferias in Brazil and The Marshall Project in the U.S., the authors show how these outlets assess their influence on policymakers, lawyers, experts, and other media.
The AI Act and the Existential Risk Facing Journalism
The article by Courtney Radsch in Tech Policy Press discusses the adoption of the EU Artificial Intelligence Act and its implications for AI implementation. While the Act represents progress in AI regulation, it cannot fully mitigate harms caused by AI technologies, such as intellectual property theft and algorithmic decision-making. The author raises concerns about the extended implementation timeline, particularly regarding elections and disinformation, but believes the law will ultimately benefit journalism and democracy by promoting transparency and copyright compliance in AI use.
Journalism & Artificial Intelligence
The publication from the Center for Journalism and Liberty at Open Markets examines the intersection of artificial intelligence and monopoly power in the digital age. The authors discuss how large corporations seek to dominate AI development, control technological progress, and threaten to undermine quality journalism.
What is the Value of Journalism to AI?
The brief by the Center for Journalism and Liberty describes the role of journalism within the AI ecosystem, emphasizing that media organizations must assert their value and rights against tech companies that use journalistic content for training and deploying AI without proper compensation. The text outlines a three-stage model of value creation in AI: data input and model development, model training and improvement, and outcomes and applications — where journalism provides critically important, high-quality data.
Clear policies for AI in journalism, imperative for ethics
The article by journalist Xhoi Zajmi in Euractiv’s Public Projects highlights the need for formalized ethical guidelines amid the rapid adoption of AI in the media. The author explains that while AI helps journalists work faster and more efficiently, it also poses risks to the accuracy, independence, and transparency of news.
Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism and the Public Arena
The study based on 134 interviews with employees of 35 media outlets (including The Guardian, The Washington Post, and The Financial Times) in the U.S., the U.K., and Germany explores how AI is transforming the news industry and the public sphere.
How Sora, OpenAI’s new text-to-video tool, could harm journalism and society
The World Press Freedom Day publication analyzes the risks and opportunities AI brings to journalism. The authors describe threats from malicious actors using AI to generate convincing fake content, making it harder to distinguish truth from falsehood. It also highlights growing economic pressures, as automation threatens not only reporters but also editors and designers, potentially weakening investigative journalism. At the same time, it outlines AI’s potential to process vast datasets and automate routine tasks thus freeing journalists for in-depth investigations, and advance data journalism through pattern detection, NLP-based summarization and translation, and content personalization.
Artificial Intelligence and the Future of Journalism: Risks and Opportunities
The UN report on the impact of AI on journalism explains how artificial intelligence creates opportunities to expand access to information and enable automation, while also generating risks such as disinformation, bias, and effects on employment — highlighting the need for policies and regulation.
