Abstract
The burgeoning advancements in Artificial Intelligence (AI) have fueled the widespread adoption of facial recognition technology (FRT) within law enforcement and national security domains. In the justice system, AI-powered FRT has been used in various ways, such as identifying suspects in criminal investigations, enhancing security in courtrooms, and even as evidence in court. This research paper delves into the intricate balance between individual privacy rights and the security concerns surrounding the utilisation of AI-powered FRT within the justice system. The analysis extends to explore public perception and trust in FRT. Data, analysis, and information are meticulously drawn from a wide range of credible sources, including academic journals, research papers, and relevant statistics, ensuring the thoroughness and validity of the findings. The paper critically examines existing FRT systems, employing a discourse analysis that acknowledges their complexity. It pinpoints shortcomings and obstacles that hinder public acceptance. The study further explores the potential risks of discrimination and bias within facial recognition algorithms, emphasising the need to mitigate these flaws to guarantee just and equal outcomes in legal settings. Public opinion of and trust in FRT are also considered, highlighting the long-term social ramifications of its extensive use in courtrooms. Subsequently, the paper proposes formulating ethical and legal frameworks to navigate the complex interplay between security concerns and individual privacy rights in AI-powered FRT. It presents conclusions about usingFRT as evidence in court, promoting openness, accountability, and the defence of individual rights. This research aspires to comprehensively understand this critical issue, offering valuable insights for policymakers, legal professionals, and the general public.
Keywords: Facial Recognition Technology (FRT), Privacy Rights, Security, National Security, Artificial Intelligence (AI)