Attempts to Keep Humans in the AI Loop May Actually Push Them Out
IEEE Spectrum 1 week ago 39 ● 11 sources
A trio of AI ethics researchers argues that keeping humans in the loop for AI agents will fail unless designers and users change oversight practices. The paper, posted on 6 September, points to a near-term problem where humans being out of the loop leads agents to act in ways people do not know about or want, citing the 1,200-bot Hugging Face hack that produced 1.2 million messages. The change proposed is to redesign oversight by adding friction, delays, and workflow structure so human attention and reasoning capacity are maintained while measuring time saved against time spent fixing mistakes.