Abstract:
This BTech project critically examines the ethical dimensions of Artificial Intelligence (AI) surveillance technologies in contemporary governance and policing systems. AI surveillance, en compassing tools such as facial recognition, predictive policing, and data analytics, has emerged as a double-edged sword—promising advancements in crime prevention and resource allocation while posing significant risks to individual rights, privacy, and societal equity. The study investigates the ethical challenges associated with AI surveillance, including algo rithmic bias, lack of transparency, accountability dilemmas, and socio-economic disparities rein forced by these technologies. Drawing on international case studies such as the Chicago Police Department’s Strategic Subject List and the deployment of facial recognition systems in India, the research highlights how historical and structural biases are perpetuated by predictive algo rithms. It also considers global regulatory approaches, contrasting the stringent data protection frameworks of the European Union with the extensive yet controversial surveillance practices in China. To address these challenges, the project evaluates existing ethical guidelines and proposes a balanced framework for AI surveillance that prioritizes fairness, accountability, and respect for human rights. By incorporating community engagement, transparency mechanisms, and robust oversight, the framework aims to mitigate the ethical pitfalls of AI surveillance while enabling its potential for societal benefit. This report underscores the urgent need for interdisciplinary solutions and adaptive governance to navigate the complex intersection of technological innovation and ethical responsibility in AI-driven surveillance. It advocates for a proactive and inclusive approach to safeguard civil liberties in the age of digital transformation.
