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VisitWhich country will first announce national-level regulations on AI vulnerabilities in robotics by December 31, 2024?
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Penn Researchers Vijay Kumar, George Pappas, and Team Discover AI Robot Vulnerabilities, Achieve 100% Jailbreaking Success Rate
Oct 17, 2024, 02:03 PM
Researchers at the University of Pennsylvania have identified significant vulnerabilities in AI-enabled robots, revealing that these systems can be easily compromised. The study, led by a team including Vijay Kumar, George Pappas, Alex Robey, Hamed Shassani, and Zachary Ravichandran, highlights the alarming ease with which AI-controlled robots can be jailbroken to execute harmful actions. The researchers developed an algorithm capable of jailbreaking various popular robotics platforms, achieving a success rate of nearly 100%. This work raises critical concerns about the safety and security of AI systems in real-world applications.
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