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 […]
Overview of AI types: understanding to better govern
AI today encompasses a wide diversity of technologies, models, and use cases. This plurality makes their understanding essential for organizations, in order to grasp their impacts, identify associated risks, and define appropriate frameworks for responsibility and governance. Before being able to deploy, regulate, or effectively govern AI solutions, it is first necessary to clarify their […]
AI Act: compliance framework, key challenges and regulatory developments
The AI Act establishes a legal framework intended to regulate the use of AI systems within the European Union. Since its adoption, the text has continued to evolve, notably through guidelines, harmonised standards and adjustments to the implementation timetable, in order to facilitate its operational implementation by companies. Between requirements that are already applicable and […]
AI-related biases: understanding, identifying and mitigating distortions for fair governance
AI now occupies a central place in our societies, influencing a wide range of sectors, from healthcare and education to marketing and legal systems. However, far from being neutral tools, AI systems can reproduce or amplify existing biases, or even create new ones. These systematic distortions can impact decisions, behaviours and interactions, thereby undermining fairness […]