On October 25, PRIO hosted a public seminar to discuss the opportunities and challenges brought about by language-learning models that are used for conflict early-warning systems. The panel reviewed state-of-the-art methods to extract information on political events from large text corpora, such as vast collections of news sources or parliamentary debates, using various artificial intelligence technologies designed to analyze text data.

Speakers:

• Simon Polichinel von der Maase, PRIO Senior Researcher
• Haakon Gjerløw, PRIO Senior Researcher
• Mihai Croicu, Doctoral Researcher
• Sonja Häffner, Research Associate, Center for Crisis Early Warning, University of the Bundeswehr Munich

PRIO Research Professor Håvard Hegre moderated the discussion.

For more information about this event, please visit https://www.prio.org/events/9080.

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