Google DeepMind Studies Risks from Millions of Interacting AI Agents
Original: Google DeepMind is worried about what happens when millions of agents start to interact
Google DeepMind is funding research into risks that could emerge when large numbers of autonomous AI agents interact online.
MIT Technology Review reports that Google DeepMind is funding research into the potential dangers of mass agent interaction online. The concern is that consumer-scale AI agents may soon act without direct human oversight and follow instructions from other agents. The article frames this as an emerging safety and alignment problem, focused less on one model and more on networked agent behavior.
MIT Technology Review reports that Google DeepMind is funding research into a safety problem that could become more urgent as AI agents move from demos into mass-market use: what happens when millions of autonomous or semi-autonomous agents begin interacting with one another across the internet. The article centers on concerns raised by Rohin Shah, who directs Google DeepMind's AGI safety and alignment research. According to the report, DeepMind is interested in the risks created by agents that can carry out tasks without continuous human supervision and that may also follow instructions issued by other agents.
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