The Goofus & Gallant Story Corpus for Practical Value Alignment
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Abstract (arXiv)
Values or principles are key elements of human society that influence people to behave and function according to an accepted standard set of social rules to maintain social order. As AI systems are becoming ubiquitous in human society, it is a major concern that they could violate these norms or values and potentially cause harm. Thus, to prevent intentional or unintentional harm, AI systems are expected to take actions that align with these principles. Training systems to exhibit this type of behavior is difficult and often requires a specialized dataset. This work presents a multi-modal dataset illustrating normative and non-normative behavior in real-life situations described through natural language and artistic images. This training set contains curated sets of images that are designed to teach young children about social principles. We argue that this is an ideal dataset to use for training socially normative agents given this fact.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 27 references that are in the map. First posted on arXiv 16 Jan 2025.
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References · 13
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
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- 2020Aligning AI With Shared Human Valuescited by 706
- 2019Social Bias Frames: Reasoning about Social and Power Implications of Languagecited by 377
- 2020Social Chemistry 101: Learning to Reason about Social and Moral Normscited by 253
- 2021Can Machines Learn Morality? The Delphi Experimentcited by 140
- 2020Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequencescited by 133
- 2017Third-Person Imitation Learningcited by 103
- 2020Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotescited by 100
- 2016Research Priorities for Robust and Beneficial Artificial Intelligencecited by 74
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