Artificial Intelligence surveillance in counterterrorism: Assessing democratic accountability and civil liberties trade-offs

Abiade, Sheriffdeen Folaranmi (2025) Artificial Intelligence surveillance in counterterrorism: Assessing democratic accountability and civil liberties trade-offs. International Journal of Science and Research Archive, 16 (1). 089-107. ISSN 2582-8185

The application of Artificial Intelligence (AI) surveillance technologies in counterterrorism has rapidly expanded, driven by the need for real-time threat detection, predictive analytics, and national security enhancement. Governments worldwide have increasingly deployed AI-driven tools such as facial recognition, biometric monitoring, and algorithmic risk assessment to preempt potential terrorist activities. While these technologies offer enhanced operational capability, they simultaneously raise critical concerns regarding democratic accountability, transparency, and the erosion of civil liberties. The balance between ensuring national security and upholding individual rights is increasingly fraught, particularly in liberal democracies where oversight mechanisms must remain robust. This paper explores the evolving role of AI in counterterrorism surveillance and examines the extent to which its deployment aligns with democratic norms and human rights obligations. It assesses case studies from jurisdictions with varying levels of regulatory frameworks including the United States, United Kingdom, and select EU states to highlight tensions between state security imperatives and protections for privacy, due process, and freedom of expression. The analysis underscores the opacity of AI algorithms, the risk of bias and discriminatory profiling, and the lack of public accountability in surveillance policy implementation. Moreover, the study evaluates the role of legislative safeguards, judicial oversight, and civil society in mediating the ethical trade-offs posed by AI surveillance. It proposes a governance model that incorporates explainable AI, data minimization, and transparent auditing to ensure that the use of AI in counterterrorism remains accountable, proportionate, and rights-respecting. This work contributes to the growing body of literature advocating for a values-based approach to national security innovation.