Artificial intelligence is increasingly integrated into conflict early-warning systems, crisis preparedness and anticipatory action. However, developing trustworthy and transparent AI systems are a major challenge, made more difficult by differing perspectives, definitions and priorities across sectors.

This panel will unite researchers, practitioners and developers working at the intersection of AI and peace, clarifying key concepts of interpretability and explainability. The goal is to create more precise and practical systems that meet diverse needs of actors working to mitigate the impacts of armed conflict.

Speakers
Simon P. von der Maase, Senior Researcher, PRIO
Ashleigh Landau, Research Associate, Early Warning Project, Simon-Skjodt Center for the Prevention of Genocide of the United States Holocaust Memorial Museum
Alexandra Malaga, Data Scientist, EconAI and Conflict Forecast
Katayoun Kishi, Head of Data Science, ACLED
Ylva Grønningsæter, Security Engineer and Research Associate, Centre for Artificial Intelligence Research (CAIR), University of Agder
The panel will be moderated by Haakon Gjerløw, Senior Researcher, PRIO.

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