Why ‘human in the loop’ falls short – and what to do about it
Human oversight of AI agents isn't enough. Here's why your governance strategy needs a rethink.

Why it matters
As agentic AI systems proliferate, relying solely on human-in-the-loop governance creates blind spots. This explores the structural limitations of human oversight and proposes alternative control frameworks — critical reading for CTOs and AI policy leaders building deployment safeguards.
The key facts
4 to knowFocuses on agentic AI governance limitations
Examines human-in-the-loop as insufficient control mechanism
Addresses AI safety and oversight frameworks
Relevant to deployment governance and risk mitigation strategies
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Agentic artificial intelligence governance depends upon humans to keep agentic AI from going off the rails. However, putting humans in the loop is woefully insufficient. Here are the problems – and perhaps some solutions – to the human-in-the-loop problem. Since the dawn of automation, humans have…