Exploring Persona-dependent LLM Alignment for the Moral Machine Experiment
On the map: LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
Abstract (arXiv)
Deploying large language models (LLMs) with agency in real-world applications raises critical questions about how these models will behave. In particular, how will their decisions align with humans when faced with moral dilemmas? This study examines the alignment between LLM-driven decisions and human judgment in various contexts of the moral machine experiment, including personas reflecting different sociodemographics. We find that the moral decisions of LLMs vary substantially by persona, showing greater shifts in moral decisions for critical tasks than humans. Our data also indicate an interesting partisan sorting phenomenon, where political persona predominates the direction and degree of LLM decisions. We discuss the ethical implications and risks associated with deploying these models in applications that involve moral decisions.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Placed in Human values and AI feedback alignment, one of 10 directions in LLM alignment / RLHF / preference optimisation. Builds on 15 of its 20 references that are in the map. First posted on arXiv 15 Apr 2025.
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15 of 20 references.
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Other references · 14
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- 2023Moral Foundations of Large Language Modelscited by 85
- 2022Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identitycited by 74
- 2023The Moral Machine Experiment on Large Language Modelscited by 25
2 more
- 2024Large-scale moral machine experiment on large language modelscited by 9
- 2022Moral Dilemmas for Moral Machinescited by 6
Built on by
Citing papers per year: 2025: 7; 2026: 2.
9 papers.
- 2025Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamicscited by 19
- 2025RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivitycited by 4
- 2025Localizing Persona Representations in LLMscited by 3
- 2025Street-Level AI: Are Large Language Models Ready for Real-World Judgments?cited by 3
- 2025Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?cited by 2
- 2025Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignmentcited by 2
- 2026Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisionscited by 1
- 2025Demographic Biases and Gaps in the Perception of Sexism in Large Language Modelscited by 0
- 2026Training-Free Cultural Alignment of Large Language Models via Persona Disagreementcited by 0
- 2026Training-Free Cultural Alignment of Large Language Models via Persona Disagreement11 May 2026
- 2026Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions23 Apr 2026
- 2025Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment17 Nov 2025
- 2025RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity30 Sep 2025
- 2025Demographic Biases and Gaps in the Perception of Sexism in Large Language Models25 Aug 2025
- 2025Street-Level AI: Are Large Language Models Ready for Real-World Judgments?11 Aug 2025
- 2025Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?5 Aug 2025
- 2025Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics14 Jun 2025
- 2025Localizing Persona Representations in LLMs30 May 2025
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