Source: Il Sole 24 Ore - InfoData

Il Sole 24 Ore analyzes the behavior of AI models once deployed in real-world environments, emphasizing the unpredictability and risks associated with post-release dynamics. The article discusses phenomena such as model drift, where AI systems may change performance or exhibit unintended behaviors over time.

It highlights the challenges in ensuring accountability and legal compliance after AI systems are launched, stressing the need for ongoing monitoring and adaptation. The piece explores regulatory and ethical considerations for managing AI’s lifecycle beyond initial deployment. It underscores the importance of transparent reporting, auditability, and mechanisms to mitigate harm from AI misbehavior. The article calls for robust frameworks to govern AI conduct in operational contexts, balancing innovation with risk management.