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.

翻译：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。该架构以通过与他者的协同认知与行动来降低不确定性作为伦理的统一基础。通过沿两个维度对不确定性进行分类与定义——(1)第一、第二与第三人称视角，(2)基于信息深度的推理难度——我们为AI伦理的统一化与渐进式发展提供支持。此外，我们基于自由能原理提出e-person框架，该框架将不确定性降低视为大脑功能的统一原则，旨在实现e-person架构，并展示了基于该框架的已有研究成果与未来挑战。