AI Governance : an AI framework to ensure Compliance and Risk control
What is AI governance ? Proper governance of artificial intelligence (AI) ensures effective management and oversight of AI systems, while guaranteeing their compliance and controlling the associated AI risks. This AI framework is based on several fundamental principles: Implementing AI governance also involves training teams, establishing appropriate methodologies and using effective tools to ensure optimal management of AI […]
Responsible AI : the fundamental principles
Introduction to Responsible AI 1/ Definition of Responsible AI We define responsible AI as a framework for the development and use of artificial intelligence that ensures AI transparency, AI security and respect for fundamental rights. It is based on three essential pillars: regulation of AI, standardization of AI and ethical AI. Its objective is to guarantee an […]
The 2025 worldwide state of AI regulation
Artificial intelligence (AI) is revolutionizing industries from healthcare to finance, but its widespread adoption raises significant ethical and security challenges. In the face of this rise, governments around the world are stepping up their efforts to regulate AI. The objective? To find a balance between innovation and risk mitigation. However, the current AI regulatory landscape […]
Optimize compliance with NIST AI RMF & Naaia
The NIST AI RMF (Risk Management Framework) provides a strategic reference framework to identify, assess, and manage AI-related risks.
