Before it’s too late: Why a world of interacting AI agents demands new Safeguards

Cutting-edge AI models are increasingly ‘agentic’, meaning they are increasingly capable of autonomous action. What distinguishes AI agents is not only that they can be given higher-level goals and can independently plan a course of action to fulfil them, but also that they can interact with various digital services, physical infrastructure and other AI agents without human intervention over extended periods. The way that AI agents work—at least the current generation of them—adds a separate dimension of risks which require a tailored governance response. IA Agents Governance