Role-play with large language models
File(s)Role_Play_in_LLMs accepted.pdf (341.41 KB)
Accepted version
Author(s)
Shanahan, Murray
McDonell, Kyle
Reynolds, Laria
Type
Journal Article
Abstract
As dialogue agents become increasingly human-like in their performance, we must develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. In this paper, we foreground the concept of role-play. Casting dialogue agent behaviour in terms of role-play allows us to draw on familiar folk psychological terms, without ascribing human characteristics to language models they in fact lack. Two important cases of dialogue agent behaviour are addressed this way, namely (apparent) deception and (apparent) self-awareness.
Date Issued
2023-11-16
Date Acceptance
2023-09-14
Citation
Nature, 2023, 623 (7987), pp.493-498
ISSN
0028-0836
Publisher
Nature Research
Start Page
493
End Page
498
Journal / Book Title
Nature
Volume
623
Issue
7987
Copyright Statement
Copyright © 2023 Springer-Verlag. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s41586-023-06647-8
Identifier
https://www.nature.com/articles/s41586-023-06647-8
Publication Status
Published
Date Publish Online
2023-11-08