AI doesn’t just make mistakes. It defends them
As enterprise AI governance has been emerging as a practice, it has rested on a reassuring idea: keep a human in the loop. Let the model generate and then let the person review. If something seems off, challenge it, correct it and move on. It sounds prudent. It also increasingly looks incomplete. A new Harvard…

