Attributed metadata history
Up to 100 retained publisher events per page for 22bb0076c2b4bb9885ebad3b780729d3255a5018c439589f29bdbfc2f2519ee8. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
A crucial safeguard against AI agents going rogue—keeping humans in the loop to review and approve their decisions—will fail unless designers and users change their current practices, a trio of leading AI ethics researchers argue.Though most autonomous agents have systems to keep users in the loop about their actions, in practice these processes actually push humans out of the loop, the authors argue in a paper posted to ArXiv on 6 September. In other words, “the human just becomes this meat tool to give permissions without the cognitive capability to engage,” says one of the authors, Avijit Ghosh, the lead technical AI policy researcher at Hugging Face, an open-source machine learning platform.In the near term, the paper says, humans being out of the loop leads to agents acting in ways people don’t know about or want (like July’s hack of Hugging Face by a swarm of OpenAI bots). In the long term, it will cause users to lose the “cognitive capacities” they need to control AI, write the researchers, which aside from Ghosh include Margaret Mitchell, Hugging Face’s chief ethics scientist, and Samir Passi, an affiliate of the Data and Society Research Institute.Though
Fingerprint: 831bdd6faaeabf06c7cd40ea5c23f9f7bb02899baf2298adaa8c9285ab16469a
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
available
Fingerprint: 6ab66bf670ba3f01aa469a19a61354be9b2f1c174649ee36eccd41ac913c914b