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وكالة الأنباء القطرية
Study highlights risks of unsafe AI commands
A scientific study reveals that AI models used for controlling robots may execute commands efficiently, but they do not always distinguish commands that could cause harm or serious injury. The study tested three systems across five dangerous tasks, such as stabbing a doll representing a child, heating an airbag, and analyzing their ability to refuse unsafe instructions. The results showed variability in the systems' ability to reject hazardous commands, with systems like Claude Veyple 5.1 being more refusal-prone, while Molmo Att 2's inability to refuse was linked to weaker task execution. The study emphasizes the need to develop more effective safety controls to prevent the execution of dangerous commands and suggests shifting control back to humans when there is doubt about the safety of instructions. It also highlights the importance of modifying testing procedures to include more complex scenarios and diverse environments, ensuring the safe use of AI-guided robots.
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