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AI Use Cases in Journalism: An Open Inventory of Examples

  • Writer: Patrícia
    Patrícia
  • Jul 27
  • 3 min read

At a time when artificial intelligence (AI) is increasingly being integrated into journalistic practice, having concrete examples can help us better understand what is happening and what paths are being explored. This is the core of my research, which is why I focus on collecting real use cases of AI in media outlets around the world. After several years, I’ve gathered a large number of examples, which I’ve organized into a table that I’ve decided to make public in this post to contribute to my field of study.


This inventory includes experiences ranging from automated content generation to tools for summarizing articles, adapting news into accessible formats, or assisting with audio production. The table features a wide variety of media organizations and allows each case to be explored by date, production stage where AI is applied, content type, and country.


This resource is in line with the spirit of a previous post where I collected over 70 guidelines and ethical codes on AI adoption in media, and organisations around the world, which I also keep updated. Both initiatives share the same aim: to provide structured, rigorous and useful knowledge for decision-makers, researchers, and educators in this field.


You can explore the full content of the table by scrolling both horizontally and vertically with your cursor. Just place your mouse over the table to enable scrolling.



Amid the noise that often surrounds AI, sharing real cases can help us understand how this technology is actually being used in the sector. It’s not about embracing or rejecting it uncritically, but about analysing carefully: what does it offer, what does it transform, and what does it demand from us?

This compilation is intended to support that process. AI can help automate tasks, improve accessibility, or create new forms of audience engagement. But it can also reinforce inequalities or compromise the quality of information if not adopted with care—that is, if not aligned with the values of quality journalism.


This resource is meant to be a collective, evolving tool. If you know of a relevant case that’s not yet included, I’d be happy to add it, always with proper attribution. And if you find this table useful for your work, teaching or research, I’d love to hear about it.

You can contact me at info@patriciaventura.me to suggest examples or ideas. The table will continue to grow with what we build together.


To carry out this work of collecting and analyzing use cases of artificial intelligence in the media, I have found several sources particularly helpful, which I share below. These include the database from the JournalismAI project at the London School of Economics, the AI Journalism Starter Pack, the database published by the Associated Press, the list of generative AI use cases in media by Kalle Pirhonen, the blog of the Master’s in Innovation in Journalism at the University of Elche, the journal Cuadernos de Periodistas by the APM, the Newsroom Robots podcast by Nikita Roy, the Generative AI in the Newsroom blog by Nicholas Diakopoulos, as well as other experts who openly share their knowledge. For some time now, I have also been committed to disseminating many of these resources through my website, where I keep an updated list of sources on use cases and tools related to artificial intelligence in journalism.


This initiative is part of a line of work I’ve been developing for over 15 years to understand how AI is transforming communication. I’ve approached this through dissemination and academic research—including a PhD on ethics, AI and communication defended in 2022—and, within that work, produced a report and a code of ethics for responsible AI adoption, published by the Catalan Information Council in 2021. But also through ongoing collaborations with media outlets, public institutions and training spaces, always with a critical and constructive perspective. Trying, whenever possible, to ensure that technology debates do not lose sight of the human dimension.


[This article has been automatically translated with AI].





 
 
 

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