This article explores the applications of artificial intelligence (ai) in the public safety services, by highlighting its benefits and the challenges it raises. AI, through tools such as predictive analytics, facial recognition and automation, is revolutionizing security by improving the management of resources, the expectation of the threats and the accuracy of the interventions. However, these innovations pose major problems, in particular the algorithmic bias, the lack of transparency and the protection of personal data. By combining a systematic review of the literature and interviews with international experts, the study shows that the results of the systems ai is highly dependent on the quality of the data used and of an ethical governance fit. The innovative concept of the ecosystem dynamics of self-regulation algorithms (edara) is proposed as a solution, integrating mechanisms of self-correction, human supervision, enhanced and a regulation interdisciplinary. This approach is intended to ensure a balance between technological innovation and respect for fundamental freedoms. The article also recommends the establishment of robust legal frameworks, regular audits and increased collaboration between the public and private sectors and academics for an adoption, ethical and effective aid in safety systems. These findings highlight the need for proactive governance to maximize the benefits of ai while minimizing its risks.