
HBR: Treating AI agents as employees cuts quality, blurs accountability
A Harvard Business Review study suggests that treating AI agents like employees may lower quality control and make it harder to know who is responsible for mistakes. Managers who did this appeared to find fewer errors and blamed algorithms more often. The study found that people sometimes skipped important checks because they expected the AI to catch problems. The findings suggest that companies should have clear steps, human checkpoints, and clear ownership when using AI agents. Following these steps may help keep accountability clear and reduce mistakes.













