Why AI Agents Should Take Human Behavior and Individual Differences into Account
AI agents are rapidly taking an increasingly active role in decision-making. They advise customers, negotiate prices, plan resources, select candidates, and manage interactions. In many organizations, AI is moving from analysis to acting. But that's where a fundamental problem arises: many AI agents are designed as if they were operating in a world of homogeneous users ā people who respond similarly to the same incentives. That world just doesn't exist.