This paper explores the ethical, legal, and privacy challenges of integrating artificial intelligence (AI) into investigative processes. It assesses the transformative potential of AI in law enforcement, particularly its ability to process large datasets and generate actionable insights, while highlighting the risks of algorithmic bias, lack of transparency, and automation's impact on investigative decision-making. The ethical implications focus on addressing the fairness of AI systems, which often perpetuate societal biases, as well as the challenges of ensuring transparency and maintaining human oversight in decisions reliant on automated technologies. These issues are examined alongside broader concerns of accountability and justice in investigative contexts, where human judgment must remain paramount.
Troy Troublefield (Thu,) studied this question.