By The Europol Innovation Lab ( © European Union Agency for Law Enforcement Cooperation, 2024

This report aims to provide the law enforcement community with a comprehensive understanding of the various applications and uses of artificial intelligence (AI) in their daily operations. It seeks to serve as a textbook for internal security practitioners, offering guidance on how to responsibly and compliantly implement AI technologies. In addition to showcasing the potential benefits and innovative applications of AI, such as AI-driven data analytics, the report also aims to raise awareness about the potential pitfalls and ethical considerations of AI use in law enforcement. By addressing these challenges, the report endeavours to equip law enforcement professionals with the knowledge necessary to navigate the complexities of AI, ensuring its effective and ethical deployment in their work. The report focuses on large and complex data sets, open-source intelligence (OSINT) and natural language processing (NLP). It also delves into the realm of digital forensics, computer vision, biometrics, and touches on the potential of generative AI. The use of AI by law enforcement is increasingly scrutinised due to its ethical and societal dimensions. The report attempts to address concerns about data bias, fairness, and potential encroachments on privacy, accountability, human rights protection and discrimination. These concerns become particularly relevant in the context of the EU’s Artificial Intelligence Act (EU AI Act), an overview of which is detailed in this report, as well as its broader context. The report emphasises the significance of the forthcoming regulation, detailing its objectives, scope, and principal provisions. The Act’s implications for law enforcement agencies are also discussed, emphasising the balance between fostering innovation and ensuring ethical use beyond compliance. Central to the report is the assessment of how law enforcement can maintain a delicate balance between leveraging AI’s benefits and addressing its inherent restrictions. Strategies for addressing bias, privacy concerns, and the pivotal role of accountability frameworks, are elaborated. The report highlights the importance of innovative regulatory environments. The concluding section forecasts the trajectory of AI in law enforcement, underscoring the potential technological advancements on the horizon. It also emphasises the need for public trust and acceptance, and the importance of collaboration and knowledge sharing. This comprehensive document serves as both a guide and a reflective tool for stakeholders vested in the confluence of AI and law enforcement within the European landscape.  

Luxembourg: Publications Office of the European Union, 2 : 2024. 61p.