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 […]
Why AI testing is becoming a strategic issue for organisations
Testing an artificial intelligence is no longer a simple technical formality. It is an essential condition to guarantee the reliability, security and compliance of modern systems. Without rigorous testing processes, an AI can produce errors, amplify biases, invent answers or adopt unexpected behaviours.These failures undermine user trust, generate legal risks and can damage the organisation’s […]