The loop takes agentic AI a step further, by authorizing a swarm of agents to work continuously in the background, endlessly.

Human-in-the-loop systems were built on a simple premise: automation increases speed, but humans remain responsible for making vital decisions that shape production. That model still exists on paper, ...

Human-in-the-loop (HITL) has emerged as the default answer to concerns about AI trust, safety and governance. The logic is that when AI systems make decisions that affect people, a human should be ...

For years, “human-in-the-loop” has provided the default reassurance when it comes to how artificial intelligence is governed. It sounds prudent. Responsible. Familiar. It is no longer true. We’ve ...

The danger of a single story is that it monopolizes our imagination, crowding out alternatives before they can prove their ...

Key insight: Agentic AI systems can appear to be so perfect that they lull the people tasked with reviewing them into a false sense of security, which leads to undetected errors. Expert quote: "If ...