构建可演进的AI伦理框架，用降低不确定性来统一人机协作道德标准。
e-person Architecture and Framework for Human-AI Co-adventure Relationship
- 从第一、二、三人称视角与推理难度双维度定义不确定性
- 基于自由能原理设计框架，以减少不确定性为脑功能统一原则
- 为构建持续演进的AI伦理系统提供理论基础和实践路径
本文提出e-person架构，旨在构建统一且可增量发展的AI伦理体系。该架构以通过与他人协同认知与行动来降低不确定性作为伦理的统一基础。通过两个维度对不确定性进行分类与定义：(1) 第一人称、第二人称、第三人称视角；(2) 基于信息深度的推理难易程度。在此基础上，提出基于自由能原理的e-person框架，将不确定性降低视为大脑功能的统一原则，以实现该架构。文中还展示了前期研究成果及未来挑战。
原文摘要 · Abstract (English)
This paper proposes the e-person architecture for constructing a unified and incremental development of AI ethics. The e-person architecture takes the reduction of uncertainty through collaborative cognition and action with others as a unified basis for ethics. By classifying and defining uncertainty along two axes - (1) first, second, and third person perspectives, and (2) the difficulty of inference based on the depth of information - we support the development of unified and incremental development of AI ethics. In addition, we propose the e-person framework based on the free energy principle, which considers the reduction of uncertainty as a unifying principle of brain function, with the aim of implementing the e-person architecture, and we show our previous works and future challenges based on the proposed framework.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。