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 […]
AI Act and Harmonised Standards: role, development process, and state of progress of European AI standards
The AI Act adopts a risk-based approach: the greater the risks an AI system poses to people’s health, safety, or fundamental rights, the stricter the legal obligations it must comply with. This graduated logic forms the foundation of the new European framework of trust for AI. To make these obligations operational, the regulation combines two […]