Scoopfeeds — Intelligent news, curated.
ai

Google DeepMind is worried about what happens when millions of agents start to interact

MIT Technology Review · Jun 11, 2026, 11:00 AM

Why this matters: a development in AI with implications for how people work, create, and decide.

Google Deep Mind is funding research into the potential dangers of millions of different AI agents interacting with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates a whole new class of risk. In an effort to address this, Google Deep Mind—which made agent-based tools a centerpiece of Google I/O last month—has teamed up with several other organizations to announce a $10 million funding pot for researchers to study the behavior of multi-agent systems and come up with ways to prevent unsafe scenarios. Joining Google DeepMind are Schmidt Sciences, a philanthropic foundation set up by Eric and Wendy Schmidt; ARIA, the UK government’s moonshot agency; the Cooperative AI foundation, a UK-based nonprofit research outfit; and Google’s charitable arm Google.org. I asked Shah and James Fox, who leads the Science of Trustworthy AI program at Schmidt Sciences, what they hope to achieve with that $10 million. While it’s no small sum, it’s dwarfed by the budgets commanded by Google DeepMind’s own research teams. The aim is to kickstart research outside of tech companies, says Shah: “The strength of academia is that it can look really quite far into the future and do the kind of work that isn’t top of mind at industry labs.” “The main issue is that there just isn’t really a field of research for multi-agent safety yet,” he adds. “And we would like there to be.” The concern is that as more and more AI agents get deployed and begin working together, we could hit a tipping point where imagined scenarios become real. “We see this with humanity too,” says Shah. “Our institutions can accomplish things that no individual human can.” Shah thinks that we have a few more months to go before agents are deployed throughout the economy in numbers that make potential risks a real concern. He wa

Article preview — originally published by MIT Technology Review. Full story at the source.
Read full story on MIT Technology Review → More top stories
Aggregated and edited by the Scoop newsroom. We surface news from MIT Technology Review alongside other reporting so you can compare coverage in one place. Editorial policy · Corrections · About Scoop