AI Agents: sectoral uses, opportunities, and risks to be managed
Since 2023, AI agents have moved from the experimental stage to operational uses across many sectors: finance, healthcare, industry, human resources, and public services. Capable of acting autonomously or semi-autonomously, these agents promise significant gains in productivity and performance. However, this increased autonomy comes with legal, ethical, operational, and cybersecurity risks, making a structured approach to their governance and management essential. 1. What is an AI agent? Definition and recent evolution AI agents, in their common understanding, refer to AI system software with specific characteristics: AI agents relate to the concept of agency, that is, a system’s ability to: Example: an AI agent may be an automated assistant tasked with sorting incoming emails. It analyzes each message, identifies its category (sales, support, urgent), and then applies the appropriate action, such as archiving or ticket creation. It thus performs a specific task, defined in advance, without exceeding the scope of this role. The emergence of frameworks such as AutoGPT (2023), LangGraph (2024), or agents integrated into cloud suites (Microsoft Copilot, Google Agentspace) has accelerated the […]
Agents IA : usages sectoriels, opportunités et risques à maîtriser
Depuis 2023, les agents IA sont passés du stade expérimental à des usages opérationnels dans de nombreux secteurs : finance, santé, industrie, ressources humaines ou encore services publics. Capables d’agir de manière autonome ou semi-autonome, ces agents promettent des gains significatifs de productivité et de performance. Mais cette autonomie accrue s’accompagne de risques juridiques, éthiques, opérationnels […]