Innovating Journalism with Artificial Intelligence 

Atex presents the first edition of the Atex AI Accelerator Program, dedicated to newsrooms and journalists worldwide. The program aims to tackle the most urgent challenges in journalism through the strategic and conscious use of Artificial Intelligence. 

The importance of this initiative for the journalism landscape 

The advent of Generative AI has profoundly transformed various industries, including content production and media. For instance, AI can now help analysing large amounts of data much faster or assist journalists in rewriting the same content in different formats, e.g. from newsletters to social networks. However, it’s not always easy to understand how to best use these tools, and not all newsrooms have the time and resources to do so. The goal of the Atex AI Challenge is to offer this opportunity by leveraging our expertise in the technology and media sector. In a long-term vision, the Atex AI Challenge aims to be the starting point for a structural change at the intersection of journalism and the advent of Artificial Intelligence. 

Who can participate? 

  • Journalists, newsrooms, and publishers 
  • Master’s programs and journalism schools 
  • Associations and organizations active in journalism 

What kind of ideas can be submitted? 

Submit AI-based ideas and challenges that can support and improve one or more phases of the daily workflow: news gathering, news production, news distribution, and news monetization. Each candidate can present one proposal, which can range from better integration of advertising to increasing subscription rates, from identifying quality news to efficiently distributing them. 

Examples of successful implementations: 

  • The New York Times: Uses a machine learning model called the Dynamic Meter to personalize paywall limits. It optimizes user engagement and subscription conversions by analyzing reader behavior. Read more here 
  • The Guardian: Supports journalistic tasks with AI, such as: analyze large data sets, assist with fact-checking, and streamline content creation while emphasizing human oversight and ethical considerations (Euronews
  • News Corp Australia: Uses generative AI to produce thousands of local stories each week on topics such as the weather, fuel prices, and traffic conditions. It helps boosting content output and it allows small teams to manage high volumes of articles at once (Euronews). 
  • Schibsted: makes audience gain with AI-driven personalised audio playlists (INMA 
  • Personalized Advertising: AI creates highly targeted ads by examining vast amounts of data to predict customer interactions, improving engagement and conversion rates (Mediaboom). 
  • Enhancing Fact-Checking with AI: the Spiegel Group, one of Germany’s most influential media companies, built out an AI tool to support their fact-checking process. (INMA) 
  • And many more… 

Selected projects 

Atex, together with selected media experts, will choose the best ideas for development. Authors of the selected projects will receive funding (AI credits), technical and project resources to create pilots necessary to validate their ideas’ impact. The various phases will be supported by Atex, from proposal analysis and co-ideation to co-design and initial development and integration.  

The deadline for submitting applications is October 20th

Please note, all applications must be submitted in English.

Contact Information: Write to us at challenge@atex.com