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AI agent autonomy is a conundrum. In many cases, supervision is needed in the form of a human in the loop to avoid disaster. Yet, you lose productivity gains if you impose excessive supervision on your agent. Too little latitude, and the agent’s capabilities are constrained to answering simple questions. Too much autonomy, and brand, reputation, customer relationships, and even financial stability are at risk. The catch is that in order to get better, AI agents need the freedom to learn and grow in real-world situations. So what’s the right balance when it comes to giving your AI agents autonomy? Surprisingly, the answer is about more than how big the risks are; it’s about how well we understand those risks. In this article, the author outlines three kinds of problems to consider when determining how much autonomy to give your AI agent.
We are witnessing a revolutionary shift from basic AI chatbots to true cognitive agents — systems that can think strategically, plan, and learn from their successes and failures. However, if we always put humans in the loop, we are unlikely to attain the true benefits of AI transformation. So, how much freedom should we grant AI agents? Surprisingly, the answer is about more than how big the risks are; it’s about how well we understand those risks. Too little latitude, and the agent’s capabilities are constrained to answering basic questions. Too much autonomy, and brand, reputation, customer relationships
