“Stealing Is Wrong… and Too Hard to Pull Off Successfully”: Inclusion of Normative Versus Capacity Information in Robot Command Rejection

In this work, we consider the inclusion of normative vs non-normative information in norm-violation responses. In particular, we consider situations where robots are given requests that simultaneously violate both normative constraints and non-normative capacity constraints. To understand what reasons robots should provide when confronted with such violations, we present the results of a human subjects experiment in which we systematically varied the degrees of both norm and capacity violation in human commands made toward robots, and then measured the effects of this variation on participants’ preferred robot response choices. Our results (1) suggest that robots should consistently include normative information when rejecting a command, and (2) shed light on the contexts in which capacity information should also be included.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i2.36623
Primary Topic
Software Reliability and Analysis Research
Type
article
Field-Weighted Citation Impact
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article

“Stealing Is Wrong… and Too Hard to Pull Off Successfully”: Inclusion of Normative Versus Capacity Information in Robot Command Rejection

Gordon Briggs, Yifei Zhu, Alyssa Hanson, Ruchen Wen et al.
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Software Reliability and Analysis Research
article

“Stealing Is Wrong… and Too Hard to Pull Off Successfully”: Inclusion of Normative Versus Capacity Information in Robot Command Rejection

Gordon Briggs, Yifei Zhu, Alyssa Hanson, Ruchen Wen, Tom Williams
article en

Abstract

In this work, we consider the inclusion of normative vs non-normative information in norm-violation responses. In particular, we consider situations where robots are given requests that simultaneously violate both normative constraints and non-normative capacity constraints. To understand what reasons robots should provide when confronted with such violations, we present the results of a human subjects experiment in which we systematically varied the degrees of both norm and capacity violation in human commands made toward robots, and then measured the effects of this variation on participants’ preferred robot response choices. Our results (1) suggest that robots should consistently include normative information when rejecting a command, and (2) shed light on the contexts in which capacity information should also be included.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(2)
United States Naval Research Laboratory (US), Colorado School of Mines (US), University of Maryland, Baltimore County (US)
Openalex Percentile: Top 69%
Software Reliability and Analysis Research
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