To err is human; to forgive, divine. But when it comes to autonomous AI “agents” that are taking on tasks previously handled by humans, what’s the margin for error?
At Fortune’s recent Brainstorm AI event in San Francisco, an expert roundtable grappled with that question as insiders shared how their companies are approaching security and governance—an issue that is leapfrogging even more practical challenges such as data and compute power. Companies are in an arm’s race to parachute AI agents into their workflows that can tackle tasks autonomously and with little human supervision. But many are facing a fundamental paradox that is slowing adoption to a crawl: Moving fast requires trust, and yet building trust takes a lot of time.
