Aim: The paper examines the role of artificial intelligence (AI) in law enforcement training and highlights the benefits and challenges associated with its use. AI in training can provide law enforcement officials with real-time, customised feedback on their performance, which can help them improve their skills and knowledge. However, the use of AI in law enforcement training also raises several challenges, such as ethical concerns related to the use of personal data and potential biases in AI algorithms. Therefore, it is crucial to effectively prepare law enforcement personnel to utilise AI to its full potential while minimising potential harm. Methodology: The paper also explores the new digital strategy of the European Union Agency for Law Enforcement Training (CEPOL) and how it incorporates AI technology into its training programmes to equip law enforcement authorities with the most up-to-date knowledge and skills. Additionally, the paper underscores the importance of research and science in identifying and developing new AI advancements and best practices. Findings: Finally, this article presents the identified gaps in digital skills and the use of new technologies in law enforcement training. Value: CEPOL periodically collects data to define strategic training priorities for law enforcement officials, emphasising digital skills and the use of new technologies. The need to increase the knowledge of law enforcement representatives on the rules of responsibility for artificial intelligence in the field of internal security remains a constant priority accompanying the development of technologies used in the work of law enforcement authorities.
Guia et al. (Tue,) studied this question.