Training AI Systems to Detect Dangerous Patterns in Online Communication - Kamalakkannan Ravi

Year
2025
Organisation
University of Central Florida
Tags
extremism detection
online radicalization
counterterrorism research
Department of Homeland Security
explainable AI
XAI
large language models
social media analysis
threat assessment
violence prevention
ideological extremism
interdisciplinary AI
Telegram data analysis
risk modeling
AI in healthcare
rare disease detection
Florida
Summary

This research develops explainable AI systems to detect early signals of ideological extremism and potential violence in online communications. By integrating social science and machine learning, the project produces interpretable threat assessments for prevention efforts. The framework also extends to healthcare, including rare disease detection using explainable AI models.