Researchers propose new framework to protect users when AI agents fumble with their money
A consortium of researchers from Microsoft Research, Google DeepMind, Columbia University, and AI startups has unveiled the Agentic Risk Standard, a financial protection framework designed to compensate users when AI agents misexecute trades or cause financial losses. The open-source protocol introduces escrow, collateral, and underwriting mechanisms to address what researchers call a 'guarantee gap' between probabilistic AI reliability and the enforceable guarantees users need for high-stakes tasks.