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3 Résultats (1 - 3)
Agentic AI: what are we talking about? (LINC - laboratoire de recherche de la CNIL)
: 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.
[Article 1/3] Crawling, scraping and TDM explained (LINC - laboratoire de recherche de la CNIL)
: Before examining the means available to website publishers to block the collection of their data, it is first necessary to define the practices implemented by search engines and companies developing generative artificial intelligence models. Several concepts are used in this context: crawling , scraping , and TDM (Text and Data Mining). Although these terms refer to similar practices, their exact scope varies depending on usage and interpretation. It is therefore essential to clarify the meaning of each of these terms in order to establish a precise framework for the discussion.
[File] How to prevent data extraction bots from collecting publicly available data (LINC - laboratoire de recherche de la CNIL)
: The development of general-purpose AI models requires the creation of massive datasets, often built from publicly available data collected online. Website owners whose content is subject to such collection have a range of tools at their disposal to help them control the data being collected and the ways in which it may be used. The articles in this dossier first introduce the concepts related to online data scraping, before presenting the methods that website publishers can implement to manage and control the data collected by data extraction bots.