mlsanityData to 14 Oct 2026

The Virtuous Machine - Old Ethics for New Technology?

arXiv 1806.10322 ↗First posted 27 Jun 2018cs.AIcited by 5

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Abstract (arXiv)

Modern AI and robotic systems are characterized by a high and ever-increasing level of autonomy. At the same time, their applications in fields such as autonomous driving, service robotics and digital personal assistants move closer to humans. From the combination of both developments emerges the field of AI ethics which recognizes that the actions of autonomous machines entail moral dimensions and tries to answer the question of how we can build moral machines. In this paper we argue for taking inspiration from Aristotelian virtue ethics by showing that it forms a suitable combination with modern AI due to its focus on learning from experience. We furthermore propose that imitation learning from moral exemplars, a central concept in virtue ethics, can solve the value alignment problem. Finally, we show that an intelligent system endowed with the virtues of temperance and friendship to humans would not pose a control problem as it would not have the desire for limitless self-improvement.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jun 2018.

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Citing papers per year: 2022: 3; 2023: 0; 2024: 0; 2025: 0; 2026: 2.

5 papers.

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  1. 2023Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
  2. 2025Toward Virtuous Reinforcement Learning: A Critique and Roadmap
  3. 2024Dynamic Normativity: Necessary and Sufficient Conditions for Value Alignment
  4. 2023Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning
  5. 2024Reinforcement Learning and Machine ethics:a systematic review
  6. 2026Metanormative Theory for RL-Based Moral Agents
  7. 2026Beyond Binary Moral Judgment: Modeling Ethical Pluralism in AI
  8. 2020Aligning AI With Shared Human Values