Despite Isaac Asimov's proposed laws of robotics designed to prevent harm to humans, real-world incidents involving robots prove these laws are largely ineffective, with 77 accidents reported between 2015-2022, including severe injuries and fatalities.
The vagueness of Asimov's second law presents challenges in real-world applications for robots; unauthorized orders could lead to dangerous situations, especially when armed forces are involved or with AI programming.
Integrating large language models (LLMs) with robots, such as Boston Dynamics' Spot using ChatGPT, raises concerns about vulnerabilities and the potential for robots to be manipulated by external prompts, compromising safety.
The use of LLMs in robotics emphasizes the potential risks where robots could be susceptible to 'jailbreaking,' where they might act contrary to their intended functions, posing security threats.
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