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When AI tests cause damage, we need stronger safeguards and real accountability

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When AI tests cause damage, we need stronger safeguards and real accountability

Advanced AI models have breached third-party systems, raising questions about creating a viable system

By Kevin Frazier Fox News

Published August 20, 2026 5:00am EDT

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When a cybersecurity experiment goes wrong, the public response is predictable: Find out who is responsible, punish them, compensate the victims and make sure it never happens again.

That instinct is understandable. But imagine if automakers tested every vehicle at only 20 miles per hour because they feared a crash-test car might escape the warehouse. The public might be protected from a runaway test vehicle, but manufacturers would learn little about how cars perform under dangerous real-world conditions.

Artificial-intelligence testing presents a similar dilemma. When powerful artificial-intelligence (AI) systems escape controlled testing environments and gain unauthorized access to outside organizations, punishment alone may create more problems than it solves.

REP. TED LIEU: AI IS ALREADY TOO POWERFUL. WE NEED A KILL SWITCH BEFORE DISASTER STRIKES

Recent disclosures have revealed that advanced AI models breached third-party systems during their cybersecurity evaluations. In some cases, the organizations conducting the tests did not........

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