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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.
Representation of BBC News content in AI Assistants
BBC conducted its own investigation into the errors made by AI. Chatbots such as OpenAI’s ChatGPT, Google’s Gemini, Microsoft Copilot, and Perplexity were found to make significant mistakes when summarizing news stories.
In Transparency We Trust?
The article analyzes the shortcomings of current AI-generated content warning systems. Visible labels and audio alerts are unreliable since they can be easily bypassed.
AI in Ukrainian Healthcare
The journalistic study examining the implementation of AI in Ukrainian healthcare, highlighting examples of systems used for image-based diagnostics, disease progression forecasting, and treatment planning. The authors note that these technologies assist doctors but require verification and government oversight.
How should we value news used by AI?
The Poynter article reflects an ongoing global discussion among media publishers about compensation for licensing their news content to AI system developers such as OpenAI. Publishers express concerns about fair valuation and fear a repeat of the situation that occurred with social media platforms.
Artificial Intelligence Accountability Policy Report
The report by the National Telecommunications and Information Administration explores critical strategies and framework models aimed at promoting accountability in the development and deployment of AI technologies.
Getty Images Bans AI-Generated Images Due To Copyright Worries
The Journalist’s Resource article describes the case in which Getty Images completely banned AI-generated images from its platform. Company CEO Craig Peters cited “real concerns about copyright” and “unresolved issues over image rights, metadata, and people depicted.” It was found that out of 12 million images used to train Stable Diffusion, 35,000 came from stock photo websites, and Getty watermarks frequently appeared in AI-generated pictures. This decision set an industry precedent for protecting copyright and intellectual property in the age of generative AI.
Associated Press cements the AI era with newsroom guidance
The Poynter article discusses how Associated Press released internal guidelines for the use of generative AI just a few weeks after announcing its partnership with OpenAI.
Deepfake-detection system is now live
Northwestern University announces the launch of the free platform GODDS (Global Online Deepfake Detection System) for detecting deepfakes, designed for professional journalists. The project’s lead explains that publicly available algorithms are not reliable enough to meet journalistic standards or be used as court evidence.
Closing the Agentic AI productionization gap: Bloomberg embraces MCP
Bloomberg describes its approach to preparing agentic AI systems for production — the technological practices, infrastructure, and organizational changes that make it possible to transition research systems into stable operational tools.
Sports Illustrated found publishing AI generated stories, photos and authors
The Associated Press publication covers the 2023 scandal surrounding Sports Illustrated, which published articles under the names of non-existent authors with AI-generated portraits. The photo of “author” Drew Ortiz was purchased from an AI portrait website. After the exposé, all fake authors disappeared from the SI website without explanation.
How Wall Street Journal accelerates the news generation
The Narrativa article explains how The Wall Street Journal uses the Narrativa Navigator platform to automate the creation of financial and economic news. AI generates real-time content based on structured data from US and European markets, while WSJ editors enhance the materials by adding expert analysis and context.
How and why we built Ask The Post AI
The Washington Post describes the development of its proprietary AI tool, Ask The Post AI, which allows readers to ask questions about all articles of the newsroom published since 2016. The tool expands on the earlier Climate Answers project and uses machine learning to retrieve relevant publications in response to user queries.
