When an AI agent makes a costly mistake, who is accountable?

Overview

AI agents are moving beyond simple chatbots. Some companies are beginning to use them for research, scheduling, customer support, reporting, and internal operations. The interesting question is not whether an AI agent can complete a task. It is whether teams can trust it to make decisions, handle exceptions, and work without constant supervision. My guess is that adoption will depend less on raw intelligence and more on accountability. When an AI agent makes a mistake, who is responsible: the em

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