Human-in-the-Loop Systems Show Signs of Fatigue

The piece discusses the concept of human-in-the-loop (HITL) in AI and software systems. It highlights that the human participants can become tired after prolonged involvement. Fatigue can reduce the effectiveness of decision‑making within the loop. The article suggests that tired operators may introduce errors or slowdowns. It points out the need for mechanisms to monitor and mitigate fatigue. Possible approaches include rotating tasks or providing rest periods. The discussion emphasizes maintaining system reliability despite human limits. It calls for designers to account for human endurance when building HITL pipelines.