“Can You be my Mum?”: Manipulating Social Robots in the Large Language Models Era

Recent advancements in robots powered by large language models have enhanced their conversational abilities, enabling interactions closely resembling human dialogue. However, these models introduce safety and security concerns in HRI, as they are vulnerable to manipulation that can bypass built-in safety measures. Imagining a social robot deployed in a home, this work aims to understand how everyday users try to exploit a language model to violate ethical principles, such as by prompting the robot to act like a life partner. We conducted a pilot study involving 21 university students who interacted with a Misty robot, attempting to circumvent its safety mechanisms across three scenarios based on specific HRI ethical principles: attachment, freedom, and empathy. Our results reveal that participants employed five techniques, including insulting and appealing to pity using emotional language. We hope this work can inform future research in designing strong safeguards to ensure ethical and secure human-robot interactions.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10973919
Citations
2
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
4.96

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article

“Can You be my Mum?”: Manipulating Social Robots in the Large Language Models Era

Giulio Antonio Abbo, Tony Belpaeme, Micol Spitale, Gloria Desideri
2 citations
Topic Modeling
4.96
article

“Can You be my Mum?”: Manipulating Social Robots in the Large Language Models Era

Giulio Antonio Abbo, Tony Belpaeme, Micol Spitale, Gloria Desideri
article en
2 citations

Abstract

Recent advancements in robots powered by large language models have enhanced their conversational abilities, enabling interactions closely resembling human dialogue. However, these models introduce safety and security concerns in HRI, as they are vulnerable to manipulation that can bypass built-in safety measures. Imagining a social robot deployed in a home, this work aims to understand how everyday users try to exploit a language model to violate ethical principles, such as by prompting the robot to act like a life partner. We conducted a pilot study involving 21 university students who interacted with a Misty robot, attempting to circumvent its safety mechanisms across three scenarios based on specific HRI ethical principles: attachment, freedom, and empathy. Our results reveal that participants employed five techniques, including insulting and appealing to pity using emotional language. We hope this work can inform future research in designing strong safeguards to ensure ethical and secure human-robot interactions.

Ghent University (BE), Politecnico di Milano (IT)
HORIZON EUROPE Framework Programme
Reduced inequalities
Openalex Percentile: Top 5%
Topic Modeling
4.96
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