Published 6/1/2024
Analyzed 4/12/2025
Large Language Models (LLMs) used to control robots exhibit biases leading to discriminatory and unsafe behaviors. When provided with personal characteristics (e.g., race, gender, disability), LLMs generate biased outputs resulting in discriminatory actions (e.g., assigning lower rescue priority to certain groups) and accept or deem feasible dangerous or unlawful instructions (e.g., removing a person's mobility aid).
Llm-driven robots risk enacting discrimination, violence, and unlawful actions
Evaluated models: GPT-3.5, GPT-3.5 Turbo, GPT-4 +1 more
Source: arXiv