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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.
OpenAI partners with Schibsted Media Group
The article discusses the partnership between OpenAI and the Scandinavian Schibsted Media Group, which brings together leading publications of Northern Europe. The content of those outlets is being integrated into ChatGPT with clear source attribution, giving 300 million users access to up-to-date news from Scandinavia. Schibsted already actively uses AI in its work: the company’s chatbot has answered more than 600,000 questions about the U.S. presidential election; it has developed tools for personalized news summaries; and it converts text materials into audio and video formats.
ChatGPT adds Washington Post content to growing list of OpenAI media deals
The article about the agreement between The Washington Post and OpenAI explains that ChatGPT will display summaries, quotes, and links to the newspaper’s materials with clear source attribution. OpenAI has signed partnerships with over 160 publishers and services, including Hearst, Condé Nast, Time, News Corp, and Reddit. The Washington Post integrates AI tools into its operations. At the same time, the document notes that other media outlets have taken the opposite approach. The New York Times, the Center for Investigative Reporting, and several other publishers have filed lawsuits against OpenAI and Microsoft, accusing them of copyright infringement for the unauthorized use of journalistic content to train AI models and seeking billions of dollars in damages.
OpenAI and Guardian Media Group launch content partnership
The news report on the strategic partnership between OpenAI and the Guardian Media Group states that 300 million weekly ChatGPT users will gain direct access to the Guardian’s journalism through extended article summaries. The content will be displayed with attribution and links to the original source to ensure transparency. The Guardian will also use ChatGPT Enterprise in its business operations to develop new products and tools.
Three predictions for the future of media distribution in the age of AI
The article by DVB, an international consortium that develops open technical standards for digital broadcasting, discusses how artificial intelligence is transforming the media industry and content distribution. The author predicts that in the future AI will automate media creation and distribution, while issues of authenticity and trust will become critically important.
How Artificial Intelligence Is Changing Media and Journalism in Central Europe
A comprehensive study by the Thomson Foundation and the Media and Journalism Research Center analyzes AI adoption in newsrooms across four Visegrád countries — Czechia, Hungary, Poland, and Slovakia — based on 23 journalist interviews and an analysis of election-related practices.
Use cases of AI in media and entertainment
The international company Innowise shares its practical experience developing AI solutions for content personalization, workflow automation, and creative innovation, including video analytics, virtual character animation, intelligent ad targeting, and AI-augmented reality with digital avatars.
Artificial Intelligence and Media
A chapter in a Cambridge University Press book on AI and law discusses the opportunities and risks of AI in media from a legal perspective. The authors describe AI’s use in news production, distribution, fact-checking, and content moderation, identifying issues such as limited access to platform data for journalists, biased moderation algorithms that cause massive wrongful removals of legal journalistic content, and threats to media freedom due to dependence on tech platforms.
Media Production with AI: 7 Fields of Creativity in the Industry
The publication by the online learning platform Data Science Dojo analyzes seven key aspects of AI use in media production. It highlights challenges such as algorithmic bias, job displacement, privacy, and authenticity, while forecasting trends including VR/AR, virtual news anchors, interactive adaptive content, and deepfake detection tools.
How is AI being used in journalism?
The report by IBM (International Business Machines), one of the world’s largest hardware and software producers, examines how leading newsrooms integrate AI into journalism. AI is used for news gathering (Bloomberg developed its own LLM for financial documents, AP automates corporate earnings reports), content production (automatic transcription, headline generation, article audio versions), audience engagement (AI chatbots by The Washington Post and Financial Times answer reader questions; personalized content recommendations), and combating deepfakes.
AI in Media and Entertainment: Top Use Cases, Benefits & Future Trends
The authors analyze ten key areas of AI application: automated editing and post-production, virtual actors and deepfakes, automated journalism, hyper-targeted advertising, AI assistants for scriptwriters, music generation, visual content creation, personalized recommendations, and interactive storytelling.
Artificial intelligence training in media: addressing technical and ethical challenges for journalists and media professionals
The study describes how journalists and media professionals in the Basque Country are preparing to work with AI technologies. Only about 14% of employees have AI-related skills, mostly self-taught. Technical and management staff are the most prepared, while editors and journalists lag behind. The authors stress the need for systematic training that includes both technical and ethical aspects, enabling journalists to use AI effectively and responsibly.
Artificial Intelligence in Media, Entertainment and Sport
The World Economic Forum report discusses how generative AI is transforming media, entertainment, and sports, creating a “content innovation loop” where technology supports the entire cycle — from creation, management, and monetization to distribution and consumption. The report predicts a shift from search engines to AI-powered answers, the rise of immersive XR experiences, and digital celebrity avatars. There is a need for a human-centered approach and collaboration between businesses, governments, labor unions, civil society, and experts for a successful and responsible AI implementation.
