Title:
Ethical Governance and Civil Liberties in AI-supported Behavioral Threat Detection

Authors:
Dr. Robb Shawe, Dr. Robert W. Clark, USA

Abstract:

Advances in artificial intelligence and machine learning have expanded the analytical capabilities available to behavioral threat assessment professionals. These technologies may assist analysts in identifying patterns of grievance expression, identity reinforcement, and behavioral leakage within large volumes of digital communication data. However, the use of AI-supported behavioral analytics also raises significant ethical, legal, and civil liberties considerations. This article examines the governance frameworks necessary to ensure that AI-enabled threat-detection systems operate responsibly within democratic societies. Drawing upon interdisciplinary literature from cybersecurity governance, behavioral threat assessment, data ethics, and public policy, the article proposes a governance framework for responsible AI-supported behavioral threat detection. The analysis emphasizes transparency, accountability, human oversight, and proportionality as essential principles for safeguarding civil liberties while enhancing public safety. The article concludes by outlining policy recommendations and future research directions for developing ethically grounded AI-supported threat assessment systems.

DOI: http://dx.doi.org/10.51505/ijaemr.2026.11217