Guilty Artificial Minds
Not on the map. Why?
Abstract (arXiv)
The concepts of blameworthiness and wrongness are of fundamental importance in human moral life. But to what extent are humans disposed to blame artificially intelligent agents, and to what extent will they judge their actions to be morally wrong? To make progress on these questions, we adopted two novel strategies. First, we break down attributions of blame and wrongness into more basic judgments about the epistemic and conative state of the agent, and the consequences of the agent's actions. In this way, we are able to examine any differences between the way participants treat artificial agents in terms of differences in these more basic judgments. our second strategy is to compare attributions of blame and wrongness across human, artificial, and group agents (corporations). Others have compared attributions of blame and wrongness between human and artificial agents, but the addition of group agents is significant because these agents seem to provide a clear middle-ground between human agents (for whom the notions of blame and wrongness were created) and artificial agents (for whom the question remains open).
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 2 of its 114 references that are in the map. First posted on arXiv 24 Jan 2021.
Builds on
2 of 114 references.
References · 2
- 2018Machine Theory of Mindcited by 222
- 2020Implementations in Machine Ethics: A Surveycited by 16
Built on by
Citing papers per year: 2023: 3; 2024: 3; 2025: 1; 2026: 2.
9 papers.
- 2023Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understandingcited by 20
- 2024From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?cited by 18
- 2024Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Surveycited by 15
- 2024The AI Double Standard: Humans Judge All AIs for the Actions of Onecited by 6
- 2023Unravelling Responsibility for AIcited by 3
- 2025Mental Models of Autonomy and Sentience Shape Reactions to AIcited by 3
- 2023Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Researchcited by 1
- 2026Human Attribution of Causality to AI Across Agency, Misuse, and Misalignmentcited by 0
- 2026Method, Mind, and Morality: How People Make Sense of Artificial Intelligencecited by 0
- 2026Method, Mind, and Morality: How People Make Sense of Artificial Intelligence25 Aug 2026
- 2026Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment17 Feb 2026
- 2025Mental Models of Autonomy and Sentience Shape Reactions to AI9 Dec 2025
- 2024The AI Double Standard: Humans Judge All AIs for the Actions of One8 Dec 2024
- 2024Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey11 Jul 2024
- 2024From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?8 Apr 2024
- 2023Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research19 Dec 2023
- 2023Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding30 Oct 2023
- 2023Unravelling Responsibility for AI4 Aug 2023