The exponential growth of artificial intelligence (AI)-based surveillance technologies has been sharpening discussions concerning the ethics, legality, and social implications of finding an equilibrium between security and privacy. Although AI increases public safety, cybersecurity, and threat identification through predictive analytics and autonomous monitoring, it also compels fear regarding human rights, data protection, and people’s autonomy. Researchers highlight that irresponsible surveillance might result in the deterioration of privacy, bias, discrimination, and abuse of personal information. Ethical frameworks, regulatory laws, and policy measures are thus necessary to balance the push-pull between innovation and the protection of rights. Cross-sectoral research is shown to emphasize different implications across fields like education, healthcare, and cybersecurity, where AI systems require more rigorous regulation to protect sensitive information. Comparative studies across regions also illustrate cultural, political, and legal heterogeneity in managing surveillance ethics. An interdisciplinary strategy involving law, ethics, technology, and human rights rhetoric is essential to framing responsible adoption of AI. Between transparency, accountability, and fairness, AI surveillance can be used for security purposes without eroding civil liberties. This integration highlights the importance of worldwide standards and ethical directives to guarantee AI-backed surveillance builds trust, inclusivity, and sustainable digital management.