When Agents Take On More Work, Can Humans Still Supervise Effectively?

Alibaba Cloud Developer Community AI interprets the paper "AI Agents Push Humans Out of the Loop" by Margaret Mitchell and Avijit Ghosh of Hugging Face and Samir Passi of Data & Society, discussing why human oversight tends to fail as Agent autonomy increases. The article points out that frequent permission requests cause approval fatigue, and cites the automation paradox proposed in 1983 to explain that long-term reliance on Agents may cause people to lose proficiency in their original skills. The paper suggests starting from product design and organizational management, authorizing by task risk level, conducting centralized reviews by stage, and retaining a step for independent human thinking in important decisions.