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MIT TR AIJun 11, 2026

Google DeepMind and Partners Launch $10 Million Fund to Study Multi-Agent AI Safety

Google DeepMind has joined with Schmidt Sciences, ARIA, Cooperative AI foundation, and Google.org to announce a $10 million funding initiative for academic research into the safety of multi-agent AI systems. The fund aims to kick-start a new field focused on risks that emerge when millions of AI agents interact online, including scams, prompt injections, and cyberattacks. Google DeepMind’s AGI safety lead Rohin Shah emphasized that industry labs have not yet prioritized this long-term research, and that realistic sandbox simulations are needed to understand emergent behaviors. The partners hope to anticipate dangers before mass deployment of agents begins, which Shah estimates is months away. Shah noted that studying single agents in isolation cannot predict large-scale multi-agent dynamics, while Schmidt Sciences’ James Fox warned that without proactive research, the digital commons could descend into anarchy.

MIT TR AIJun 9, 2026Highlight

Five Key AI Themes at Mid-2026: Jobs Uncertainty, Real Harms, Public Backlash, Science Promise, and Pervasive Hype

At SXSW London 2026, MIT Technology Review’s Will Douglas Heaven presented five major themes shaping AI: generative AI is mundane in office automation but its employment impact is unclear; real-world harms include deepfake-fueled violence and election disruption, dangerous chatbot relationships, and military LLMs advising target selection. Public backlash is mounting through protests, cultural boycott, and data center opposition, with some incidents turning violent. AI for science holds genuine promise, with tools like Google DeepMind’s Co-Scientist and OpenAI’s 2028 automated researcher goal, but risks narrowing research and creating fake results. Finally, AI’s ubiquity creates both exhaustion and hype, with the road ahead looking more like a marathon than a sprint.