Cross Fertilizing Empathy from Brain to Machine as a Value Alignment Strategy
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Abstract (arXiv)
AI Alignment research seeks to align human and AI goals to ensure independent actions by a machine are always ethical. This paper argues empathy is necessary for this task, despite being often neglected in favor of more deductive approaches. We offer an inside-out approach that grounds morality within the context of the brain as a basis for algorithmically understanding ethics and empathy. These arguments are justified via a survey of relevant literature. The paper concludes with a suggested experimental approach to future research and some initial experimental observations.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 32 references that are in the map. First posted on arXiv 10 Dec 2023.
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8 of 32 references.
References · 8
- 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
- 2020Aligning AI With Shared Human Valuescited by 723
- 2019Social Bias Frames: Reasoning about Social and Power Implications of Languagecited by 380
- 2016Cooperative Inverse Reinforcement Learningcited by 300
- 2020Social Chemistry 101: Learning to Reason about Social and Moral Normscited by 255
- 2017Inverse Reward Designcited by 249
- 2020Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequencescited by 135
- 2020Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotescited by 101
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