: The LINC is publishing the proceedings of the autumn school co-organized by the CNIL and the EHESS. This is the first major scientific event since the signing of an agreement between the two
: The LINC is publishing the proceedings of the autumn school co-organized by the CNIL and the EHESS. This is the first major scientific event since the signing of an agreement between the two
: The emergence of agentic AI first raises the question of what this term actually means. Although the concept itself is not new, it has taken on a new significance in the era of generative AI. To date, there is no universally accepted definition of agentic AI or AI agents. This is illustrated by the OECD ’s February 2026 report, which identifies around ten different proposed definitions - each reflecting a distinct perspective. The terminology remains ambiguous, with varying scopes and overlapping concepts. Between marketing-driven labels, confusion with established terms such as conversational agent, and inconsistent definitions, it is far from straightforward to clearly define agentic AI and the systems it encompasses. In this article, we therefore provide an overview of both historical and contemporary terminology to help clarify the emerging—or perhaps not so new - landscape of agentic AI.