AI-Powered Surveillance vs. Privacy Rights: Striking the Right Balance

Artificial intelligence (AI) implementations in surveillance technology keep advancing rapidly, making privacy debates about individual rights more intense globally. Computer systems that use AI surveillance technology create better security but nurture law enforcement activities and quick threat recognition capabilities alongside major moral and judicial problems about big data gathering, confused facial detection systems, discriminatory practices, and constitutional rights violations. The research examines how artificial intelligence-based surveillance functions as both helpful and harmful when viewed from multiple viewpoints, which study technological features, human rights protections, regulatory structures, and public social attitudes. Numerous case studies, legal files, and policy documents undergo a thorough systematic research analysis to examine diverse jurisdictional approaches to balance public safety interests with individual freedom protection through a methodology that compares different responses. The research leads to a vital discovery that privacy protection against security threats needs a regulatory balance using transparent, responsible safeguards for technology fairness. The author adds to the ongoing debate with a proposed surveillance governance framework that delivers ethical compliance, legal integrity, and societal trust.