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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.

Artificial Intelligence: Opportunities and Challenges for Media

The article by the Centre for Democracy and Rule of Law (CEDEM, Ukraine) outlines a comprehensive approach to ethical and responsible AI use in the media sector. CEDEM offers educational material list covering both practical work with certain AI tools and deeper analyses of systemic challenges. The initiative aims to help journalists technically adapt to new tools and to foster a culture of responsible AI use amid modern information warfare and democratic challenges.

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Journalism in the AI Era: A TRF Insights survey

The report by the Thomson Reuters Foundation which is based on a survey of more than 200 journalists from over 70 countries of the Global South and developing regions. Research author Damian Radcliffe highlights unique challenges for the Global South: language barriers, misinformation risks due to lack of oversight, fears of job loss and eroding trust to journalism, and unequal access to resources compared with large Western newsrooms. The authors of the report recommend investing in AI literacy and ethics training, developing transparent frameworks, fostering partnerships between media and developers, setting legal safeguards to protect journalism in the AI era, and ensuring fair access to AI benefits for smaller outlets.

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What the Financial Times learned from experimenting with AI

The Financial Times article summarizes the outcomes of its experiments with AI — what worked, what mistakes were avoided, lessons learned from integrating tools into editorial workflows, and their influence on newsroom culture.

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From lab to newsroom: How Reuters builds AI tools journalists actually use

The article by Reuters discusses how the agency integrates artificial intelligence into journalism through a clear strategy — including staff experiments via the internal Open Arena tool, transformation of editorial processes, and AI integration into client platforms.

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How We’re Using AI

The collection of interviews with editors of leading media outlets explores their approaches to using AI. Gina Chua (Reuters), Nicholas Thompson (The Atlantic), Emilia David (404 Media), Zach Seward (Quartz), and others share their practical experience. Reuters has used AI since 2014 for quarterly earnings reports with an end-to-end control system. The Washington Post applies AI to document analysis but never publishes materials where AI is the sole source. 404 Media categorically rejects AI-generated text.

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Use of AI in Media: Findings of the National Council’s Study

The study by the National Council of Television and Radio Broadcasting of Ukraine examines the use of AI in Ukrainian media. The analysis showed that a large share of Ukrainian journalists already use artificial intelligence technologies. However, the high level of concern about potential AI-related risks indicates the need for a systematic approach to innovation and educational support for the industry.

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Trusted journalism in the Age of Generative AI

The 2024 report by the European Broadcasting Union (EBU) assesses the impact of generative AI on journalism. It presents 15 practical case studies from major media organizations, including the BBC, Sveriges Radio, and Yle, and provides recommendations for newsroom AI strategies.

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Guiding the way: a comprehensive examination of AI guidelines in global media

The scientific article published in AI & Society (2025) analyzes 37 guidelines on the use of artificial intelligence in the media sector across 17 countries. The authors found significant regional disparities in AI acceptance and a widening gap between well-funded outlets such as The New York Times, the Financial Times, and The Washington Post — which develop their own AI tools — and smaller newsrooms. The study reviews different AI governance models, from restrictive to innovative.

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Navigating the Ethical, Legal and Security Aspects of AI Editorial Tools in Media

The content management platform Ring Publishing has released a paper on the practical, ethical, and legal challenges faced by media organizations implementing AI. It examines issues of copyright, data protection, and accountability for AI-generated content, as well as the problem of dependence on major technology providers such as Google, Amazon, Microsoft, and OpenAI, which limits media autonomy.

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Media Self-Regulation in the Use of AI: Limitation of Multimodal Generative Content and Ethical Commitments to Transparency and Verification

The article in the Journal of Media and Communication Studies (2024) explores the influence of AI on news creation, verification, and presentation. The authors discuss both the benefits — speed, automation, and efficiency — and the risks related to ethics, transparency, and audience trust. They emphasize that AI should support journalists rather than replace them, and maintaining credibility requires clear standards, rules, and responsible use of technology.

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Guardian does OpenAI deal, New York Times goes AI for newspaper content generation

In his commentary, David Gerard discusses the content agreement between Guardian Media Group and OpenAI. He notes ironically that although the Guardian’s editorial rules prohibit using large language models for content generation, management experimented with AI during a strike in December. The New York Times, meanwhile, is implementing AI to increase editorial production, encouraging journalists to use chatbots for generating interview questions. The same outlet, however, is suing OpenAI over large-scale copyright violations.

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AI in the Media Industry: A Miracle or a Minefield?

The article published by Routledge analyzes the impact of artificial intelligence on the media industry and highlights the difference between traditional AI, which follows established rules, and generative AI, which is capable of creating new content.

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