Security, artificial intelligence and trust: impacts and solutions for a better implementation within organizations ; Seguridad, inteligencia artificial y confianza: repercusiones y soluciones para una mejor implantación en las organizaciones ; Sécurité, intelligence artificielle et confiance : impacts et solutions pour une meilleure implémentation au sein des organisations

International audience ; Today, new technologies have invaded the field of security. The protection of people and property is now being replaced by 'pervasive' technology (Claverie et al., 2009). However, in the event of security difficulties, responses often focus on these technologies before engaging in a reflection on the human being and its complexity, reflecting an orientation towards technological determinism (Doray & Millerand, 2015).This tendency towards security perfection, due to solutionist thinking (Vigouroux-Zugasti, 2018), is now leading to the application of 'augmented security'. The term 'augmented' means, in this case, that it is the performance of security technologies that is increased, feeding a logic of 'always more', 'always better', but with ever fewer humans.There are many examples of this principle of increased security, characteristic of a progressive rise in this security pervasiveness. In particular, the shortage of staff on the ground is now compensated for by the addition of security technologies (video protection, pedestrian cameras, facial recognition, anti-fraud technology) within cities and organisations (Diard, 2018; Lollia, 2019; Diard & Dufour, 2022). Now, in this logic of perfectibility, these security tools are reinforced by artificial intelligence (AI).With this human-machine (augmented) coupling, the security professional uses the machine's skills by accepting the fact that the machine performs certain tasks much more efficiently than he does, thanks in particular to its 'augmentation'. However, it should be borne in mind that AI is not a substitute with knowledge.It emerges that the use of AI in the field of security poses a problem of legitimacy, perception, acceptability (trust, collaborative work) and recognition (pride in the work done).This leads us to the following questions: Are AI and security compatible with user confidence in the security field? Does AI give legitimacy to decision making? We will try to answer these questions by posing the hypothesis ...