As AI technology advances, the intersection of artificial intelligence and surveillance has become increasingly significant. AI-powered surveillance refers to the use of artificial intelligence to enhance the capabilities of surveillance systems, enabling more effective monitoring and data analysis. These technologies include facial recognition, behavior prediction, and data mining, which collectively aim to improve security and efficiency in various contexts, such as urban environments and public safety. The proliferation of these systems reflects a growing reliance on surveillance technology, which raises essential questions about privacy and ethical considerations in their deployment. Understanding the implications of AI-powered surveillance is crucial as society grapples with the balance between security and individual rights. The emergence of AI surveillance technologies has prompted discussions around not only their potential benefits but also the inherent risks that accompany their use, particularly concerning privacy erosion and the potential for data misuse. Additionally, public perception of these technologies plays a vital role in shaping their acceptance and implementation. Recent studies indicate that public attitudes toward AI vary significantly based on perceived risks and benefits, highlighting the importance of engaging with community concerns to foster trust and transparency. As the landscape of AI surveillance continues to evolve, it is imperative to navigate these ethical challenges thoughtfully, ensuring that public safety does not come at the expense of personal privacy.