Google DeepMind Opens $10M Call for Multi-Agent AI Safety Research
Original: Investing in multi-agent AI safety research
Google DeepMind and partners launched an up to $10M global funding call for research on multi-agent AI safety.
Google DeepMind, Schmidt Sciences, the Cooperative AI Foundation, ARIA, and Google.org are backing a funding call of up to $10M for multi-agent AI safety research. The call focuses on risks that arise when many autonomous AI agents interact, coordinate, negotiate, transact, or fail across shared digital environments. Researchers are invited to submit proposals on testbeds, agent networks, infrastructure, oversight, and control by August 8, 2026.
Google DeepMind announced a new technical research funding call of up to $10 million aimed at improving safety in large-scale multi-agent AI systems. The effort is being run with Schmidt Sciences, the Cooperative AI Foundation, and the Advanced Research and Invention Agency, with support from Google.org. The stated goal is to expand research into how populations of AI agents behave when they interact with each other across digital environments, especially as agentic systems become more common and are built by many different organizations.
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