Towards a Theory of AI Personhood
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Abstract (arXiv)
I am a person and so are you. Philosophically we sometimes grant personhood to non-human animals, and entities such as sovereign states or corporations can legally be considered persons. But when, if ever, should we ascribe personhood to AI systems? In this paper, we outline necessary conditions for AI personhood, focusing on agency, theory-of-mind, and self-awareness. We discuss evidence from the machine learning literature regarding the extent to which contemporary AI systems, such as language models, satisfy these conditions, finding the evidence surprisingly inconclusive. If AI systems can be considered persons, then typical framings of AI alignment may be incomplete. Whereas agency has been discussed at length in the literature, other aspects of personhood have been relatively neglected. AI agents are often assumed to pursue fixed goals, but AI persons may be self-aware enough to reflect on their aims, values, and positions in the world and thereby induce their goals to change. We highlight open research directions to advance the understanding of AI personhood and its relevance to alignment. Finally, we reflect on the ethical considerations surrounding the treatment of AI systems. If AI systems are persons, then seeking control and alignment may be ethically untenable.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jan 2025.
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Citing papers per year: 2025: 2; 2026: 4.
6 papers.
- 2025A Pragmatic View of AI Personhoodcited by 12
- 2025Evidence for Limited Metacognition in LLMscited by 11
- 2026AI Identity: Standards, Gaps, and Research Directions for AI Agentscited by 5
- 2026Memory as Ontology: A Constitutional Memory Architecture for Persistent Digital Citizenscited by 1
- 2026The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problemcited by 0
- 2026The Open-Strategy Dictator Game: Cooperation Under Mutual Transparencycited by 0
- 2026The Open-Strategy Dictator Game: Cooperation Under Mutual Transparency14 Aug 2026
- 2026AI Identity: Standards, Gaps, and Research Directions for AI Agents25 Apr 2026
- 2026The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem16 Apr 2026
- 2026Memory as Ontology: A Constitutional Memory Architecture for Persistent Digital Citizens5 Mar 2026
- 2025A Pragmatic View of AI Personhood30 Oct 2025
- 2025Evidence for Limited Metacognition in LLMs25 Sep 2025