The Conflict Between People's Urge to Punish AI and Legal Systems
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Abstract (arXiv)
Regulating artificial intelligence (AI) has become necessary in light of its deployment in high-risk scenarios. This paper explores the proposal to extend legal personhood to AI and robots, which had not yet been examined through the lens of the general public. We present two studies (N = 3,559) to obtain people's views of electronic legal personhood vis-`a-vis existing liability models. Our study reveals people's desire to punish automated agents even though these entities are not recognized any mental state. Furthermore, people did not believe automated agents' punishment would fulfill deterrence nor retribution and were unwilling to grant them legal punishment preconditions, namely physical independence and assets. Collectively, these findings suggest a conflict between the desire to punish automated agents and its perceived impracticability. We conclude by discussing how future design and legal decisions may influence how the public reacts to automated agents' wrongdoings.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 13 Mar 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
4 papers.
- 2022The Conflict Between Explainable and Accountable Decision-Making Algorithmscited by 13
- 2023Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harmcited by 5
- 2025MoralReason: Generalizable Moral Decision Alignment For LLM Agents Using Reasoning-Level Reinforcement Learningcited by 5
- 2026Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanismscited by 3
- 2026Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms28 May 2026
- 2025MoralReason: Generalizable Moral Decision Alignment For LLM Agents Using Reasoning-Level Reinforcement Learning15 Nov 2025
- 2023Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm5 Apr 2023
- 2022The Conflict Between Explainable and Accountable Decision-Making Algorithms11 May 2022