"Till I can get my satisfaction": Open Questions in the Public Desire to Punish AI

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Ungless, Eddie L., Horne, Zachary, Ross, Björn
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866913720027840512
author Ungless, Eddie L.
Horne, Zachary
Ross, Björn
author_facet Ungless, Eddie L.
Horne, Zachary
Ross, Björn
contents There are countless examples of how AI can cause harm, and increasing evidence that the public are willing to ascribe blame to the AI itself, regardless of how "illogical" this might seem. This raises the question of whether and how the public might expect AI to be punished for this harm. However, public expectations of the punishment of AI have been vastly underexplored. Understanding these expectations is vital, as the public may feel the lingering effect of harm unless their desire for punishment is satisfied. We synthesise research from psychology, human-computer and -robot interaction, philosophy and AI ethics, and law to highlight how our understanding of this issue is still lacking. We call for an interdisciplinary programme of research to establish how we can best satisfy victims of AI harm, for fear of creating a "satisfaction gap" where legal punishment of AI (or not) fails to meet public expectations.
format Preprint
id arxiv_https___arxiv_org_abs_2503_03383
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle "Till I can get my satisfaction": Open Questions in the Public Desire to Punish AI
Ungless, Eddie L.
Horne, Zachary
Ross, Björn
Human-Computer Interaction
Computers and Society
There are countless examples of how AI can cause harm, and increasing evidence that the public are willing to ascribe blame to the AI itself, regardless of how "illogical" this might seem. This raises the question of whether and how the public might expect AI to be punished for this harm. However, public expectations of the punishment of AI have been vastly underexplored. Understanding these expectations is vital, as the public may feel the lingering effect of harm unless their desire for punishment is satisfied. We synthesise research from psychology, human-computer and -robot interaction, philosophy and AI ethics, and law to highlight how our understanding of this issue is still lacking. We call for an interdisciplinary programme of research to establish how we can best satisfy victims of AI harm, for fear of creating a "satisfaction gap" where legal punishment of AI (or not) fails to meet public expectations.
title "Till I can get my satisfaction": Open Questions in the Public Desire to Punish AI
topic Human-Computer Interaction
Computers and Society
url https://arxiv.org/abs/2503.03383