mlsanityData to 14 Oct 2026

A Virtuous AI is an Existential Risk

arXiv 2606.13739 ↗First posted 11 Jun 2026cs.CY cs.AI cs.LGcited by 0

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Abstract (arXiv)

This paper examines trade-offs between AI safety and well-being relative to (i) one of the most promising methods for finetuning super-capable AIs, 'Constitutional AI', and (ii) one of the most influential approaches to understanding complex ethical decision making and the conditions for the well-being of rational agents, 'Virtue Ethics'. We finetune various models using a 'Virtuous agent' constitution, a 'Subordinate agent' constitution, and a 'Generic agent' constitution, and evaluate them on 'general safety' (toxic behaviors, misinformation, etc.) and also on their willingness to endorse and act on a wide-range of behaviors that, if adopted by a super-powerful AI, would significantly increase the level of existential risk for humanity. Our results suggest that there is a trade-off between reducing existential risk and reinforcing the beliefs and dispositions that would be conducive to an AI agent's well-being. They also suggest that there is a trade-off between existential risk and general safety: if we finetune an AI to adopt beliefs and dispositions that substantially reduce its existential risk -- by shaping the AI to be systematically subordinate to external human authorities -- we thereby increase the likelihood that a human user can deliberately induce the AI to engage in various kinds of generally unsafe behaviors.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 62 references that are in the map. First posted on arXiv 11 Jun 2026.

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References · 14

  1. 2022Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackcited by 3,720
  2. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
  3. 2026DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligencecited by 1,040
  4. 2022Discovering Language Model Behaviors with Model-Written Evaluationscited by 836
  5. 2024Deliberative Alignment: Reasoning Enables Safer Language Modelscited by 308
  6. 2022The Alignment Problem from a Deep Learning Perspectivecited by 258
  7. 2023An Overview of Catastrophic AI Riskscited by 222
  8. 2025Agentic Misalignment: How LLMs Could Be Insider Threatscited by 158
  9. 2022Is Power-Seeking AI an Existential Risk?cited by 105
  10. 2023Specific versus General Principles for Constitutional AIcited by 47
  11. 2024Taking AI Welfare Seriouslycited by 31
  12. 2026Model Spec Midtraining: Improving How Alignment Training Generalizescited by 20
2 more
  1. 2024Public Constitutional AIcited by 5
  2. 2026Direction-Flipped Influence Audits Reveal Hidden Structure in Moral Choices of LLMscited by 3

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  1. 2025Moral Responsibility or Obedience: What Do We Want from AI?
  2. 2026Positive Alignment: Artificial Intelligence for Human Flourishing
  3. 2025Black Box Deployed -- Functional Criteria for Artificial Moral Agents in the LLM Era
  4. 2025From Values to Frameworks: A Qualitative Study of Ethical Reasoning in Agentic AI Practitioners
  5. 2026Affective AI Safety: The Missing Piece in LLM Safety ↗
  6. 2023Absolutist AI
  7. 2023Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
  8. 2025Toward Virtuous Reinforcement Learning: A Critique and Roadmap