AI technologies are bringing drastic changes in numerous fields, including the security domain. For instance, emerging solutions such as AI-enabled Augmented Reality (AR) can facilitate the quick and efficient processing of data in real time, thus improving situational awareness in high-stakes decision-making like law enforcement and emergency management. Yet, the huge benefits of AI tech come with downsides, particularly in terms of legal and ethical concerns, as demonstrated by ever-growing research on the ethical, legal and societal aspects of AI.

This session explores key challenges associated with AI-enabled systems used in the security sector and provides an overview of measures to mitigate them, based on the best practices and lessons learned across EU-funded security projects like DARLENE (Deep AR Law Enforcement Ecosystem).