Category: Governance

The AI Act already applies to any company that uses AI: prohibited practices and AI literacy since 2025, transparency since August 2026, high risk postponed to December 2027. Roles, timetable after the AI ​​Omnibus, sanctions and seven-step action plan.

The AI Act does not mandate a single AI register for all organizations, but neither is the GDPR register sufficient. This article examines what each text requires, where they overlap, and how to maintain a shared, unduplicated map of AI usage.

In recent years, artificial intelligence has emerged as a major driver of transformation for organizations, public services, and society as a whole. Yet, behind the technological enthusiasm and promises of efficiency, a central question too often remains relegated […]

Questioning the necessity, sizing the model as needed, measuring and publishing the impacts, limiting retraining, managing data, evaluating social effects: this is what the State's responsible purchasing guide for AI solutions (December 2025) requires, verified figures, and what a private company can learn from it.

The rapid deployment of major language models in our productivity tools promises to accelerate the writing, translation, and structuring of knowledge. However, behind the promise of a "publish-ready" text lie risks that […]

We are entering an era where language models no longer simply generate text: they observe, reason, plan, and trigger concrete actions. The autonomy conferred by this new paradigm is already transforming the […]

Article rewritten on 25 October 2026 based on Regulation (EU) 2024/1689 as amended by the Omnibus AI, the OECD principles, the UNESCO recommendation, the European guidelines for trustworthy AI and the ISO fact sheets consulted […]

AI is no longer a laboratory project: it now permeates our public services, our production chains, and even our daily interactions. Its rapid spread necessitates that we begin thinking now about the governance that will accompany it, otherwise society […]

Beyond the waves of enthusiasm that accompany every technological breakthrough, artificial intelligence today appears as an underground network that is simultaneously reconfiguring our institutions, our markets, and our daily lives. By browsing the abundant contributions of researchers, teachers, leaders, and […]

Generative artificial intelligence is now finding its way into every professional sphere, from writing simple emails to creating advertising campaigns, including human resources management, financial analysis, and even artistic design. Faced with this […]

The emergence of generative artificial intelligence in the daily lives of businesses is no longer a subject of anticipation, but a palpable reality that is profoundly shaking up data management, confidentiality and compliance with ethical obligations, particularly in […]

Applications based on AI agents, capable of autonomous planning, reasoning, and action, mark a new era in the use of language models. Their complexity, their ability to manipulate tools, and their interconnection with environments […]

For some time now, assessing the environmental impact of generative AI models has been gaining importance. Mistral AI has taken a major step forward by publishing a comprehensive life cycle assessment (LCA) of its flagship model, Large 2, carried out with specialist partners […]

Artificial Intelligence (AI) has emerged as an essential tool for organizational transformation, driving innovation, agility, and competitiveness. However, this rapid and sometimes uncontrolled growth comes with significant risks. Businesses are now navigating a situation comparable to […]

As businesses increasingly integrate generative artificial intelligence (GenAI) into their daily operations, it becomes essential to rethink traditional governance models to manage risks and maximize benefits. The growing adoption of GenAI agents, capable of […]

The integration of artificial intelligence (AI) into our daily lives, whether in our private, professional, or educational lives, is experiencing an unprecedented pace of adoption. However, this growing ubiquity of AI is accompanied by a relational complexity marked by a profound ambivalence: between […]

Article rewritten on October 25, 2026, based on the French Labor Code (articles L1321-4, L1321-5, L2312-8, L2312-38 and L1222-4), Regulation (EU) 2026/1744 amending the AI Act, the recommendations of the CNIL, the CSPLA report of July 9, 2026, and […]

Shadow AI, or shadow AI, refers to the use of AI tools without employee authorization. This article defines it, explains the difference between shadow AI and shadow IT, presents figures for 2025-2026, outlines the risks (data, GDPR, AI Act), and offers a six-step plan to overcome this without stifling innovation.

At the G9+ Institute Annual Meeting on March 18, 2024, Ana SEMEDO, Vice President of Mines Digital, opened the event with a captivating introduction. She highlighted the importance of the impact of Artificial Intelligence (AI) on our work, our values ​​[…]

1. Introduction The growing adoption of generative AI, particularly large language models (LLMs), has reignited the debate on AI regulations to ensure that AI/ML systems are trained and deployed responsibly. Unfortunately, […]