TY - GEN
T1 - What Should a Robot Do? Comparing Human and Large Language Model Recommendations for Robot Deception
AU - Rogers, Kantwon
AU - Webber, Reiden John Allen
AU - Zubizarreta, Geronimo Gorostiaga
AU - Cruz, Arthur Melo
AU - Chen, Shengkang
AU - Arkin, Ronald C.
AU - Borenstein, Jason
AU - Wagner, Alan R.
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s)
PY - 2024/3/11
Y1 - 2024/3/11
N2 - This study compares human ethical judgments with Large Language Models (LLMs) on robotic deception in various scenarios. Surveying human participants and querying LLMs, we presented ethical dilemmas in high-risk and low-risk contexts. Findings reveal alignment between humans and LLMs in high-risk scenarios, prioritizing safety, but notable divergences in low-risk situations, reflecting challenges in AI development to accurately capture human social nuances and moral expectations.
AB - This study compares human ethical judgments with Large Language Models (LLMs) on robotic deception in various scenarios. Surveying human participants and querying LLMs, we presented ethical dilemmas in high-risk and low-risk contexts. Findings reveal alignment between humans and LLMs in high-risk scenarios, prioritizing safety, but notable divergences in low-risk situations, reflecting challenges in AI development to accurately capture human social nuances and moral expectations.
UR - http://www.scopus.com/inward/record.url?scp=85188078253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188078253&partnerID=8YFLogxK
U2 - 10.1145/3610978.3640752
DO - 10.1145/3610978.3640752
M3 - Conference contribution
AN - SCOPUS:85188078253
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 906
EP - 910
BT - HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024
Y2 - 11 March 2024 through 15 March 2024
ER -