AI agent autonomy is a complex issue. It often requires human supervision to prevent disasters, but too much oversight can hinder productivity. Finding the right balance is crucial to avoid limiting the agent’s capabilities or risking brand reputation, customer relationships, and financial stability.
AI agents need freedom to learn and grow in real-world situations to improve. Understanding the risks involved is key in determining the appropriate level of autonomy. The author of this article discusses three main problems to consider when deciding how much autonomy to grant your AI agent.
