AI Safety Can Accelerate AI’s Shift to Large-Scale Use

What happened

The article argues that AI safety is becoming a foundation for deploying AI in production systems and core business, rather than a brake on development. As AI moves toward autonomous action, multi-agent collaboration and use in physical settings, risks can spread across connected systems and cause real-world harm. The author says safety must be built throughout the AI lifecycle and outlines priorities including agent security, public safety infrastructure and commercial insurance.

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The story so far

Shao Guanglu argues that AI security enables AI to move from pilot projects into large-scale deployment and critical applications, calling for safeguards throughout the AI lifecycle. As AI systems take autonomous actions, collaborate with other agents and operate in physical settings, Shao says risks can spread across connected systems and cause real-world harm. He identifies agent security, public safety infrastructure and commercial insurance as priorities for supporting broader deployment.