用儿童绘本式数据集训练AI遵守社会规范
The Goofus & Gallant Story Corpus for Practical Value Alignment
- 构建图文并茂的规范行为数据集，模拟真实生活场景
- 包含经筛选的艺术图像与自然语言描述，专为教化设计
- 适合训练具社会常识的AI，尤其在教育与交互领域
价值观或原则是人类社会的关键要素，影响人们按照既定的社会规则行事以维持社会秩序。随着人工智能系统在社会中日益普及，其可能违反社会规范或价值观并造成潜在危害成为重大关切。因此，要求AI系统采取与这些原则一致的行为，以避免有意或无意的伤害。然而，训练系统表现出此类行为十分困难，通常需要专门的数据集。本文提出一个跨模态数据集，通过自然语言和艺术图像展示真实情境中的规范与非规范行为。该训练集包含经过精心筛选的图像，原本用于向儿童传授社会原则。我们认为，鉴于其教育属性，该数据集非常适合用于训练具有社会规范意识的智能体。
原文摘要 · Abstract (English)
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.
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