The post the first global law on artificial intelligence is a reality appeared on BitcoinEthereumNews.com.

Artificial intelligence is rapidly revolutionizing every sector, from healthcare to finance, including marketing and public administration. But who oversees these systems? How can we ensure that AI does not violate fundamental rights? It is from these questions that the EU AI Act originates, the first legislation in the world that regulates the development, distribution, and use of artificial intelligence according to a key principle: risk. What does the EU AI Act foresee? Approved in 2024, the European Regulation on Artificial Intelligence introduces a risk-based approach. AI systems are classified into four main categories: 🔹 AI at minimal risk 🔹 AI at high risk 🔹 AI prohibited 🔹 Models for general purposes (GPAI) Prohibited Practices: AI That Will Have No Future Some uses of artificial intelligence are considered ethically unacceptable or dangerous and will be banned starting from February 2, 2025. Examples of prohibited AI: Social score (style “Black Mirror”): evaluating people based on their behavior, with consequences in real life. Psychological manipulation: systems that push users to make harmful or unaware decisions. Scraping of faces from the Internet for biometric databases. Recognition of emotions in schools and workplaces (except for health or safety reasons). Real-time biometric surveillance by law enforcement, except in exceptional authorized cases. High-risk AI: rules and requirements High-risk systems are those that directly impact rights, safety, or access to essential services. They will have to comply with rigorous requirements. Concrete examples: AI used to hire candidates or evaluate performance. Systems that determine credit or social benefits eligibility. Algorithms in medical devices or critical infrastructures (energy, transportation). AI tools that influence the judicial system or democratic elections. The suppliers will have to: Adopt continuous risk management systems Ensure high quality of training and test data Document every phase with technical transparency Implement post-marketing monitoring plans The users will…

---

Filed under: News - @ March 27, 2025 6:25 pm