e-person Architecture and Framework for Human-AI Co-adventure Relationship
It addresses the need for a unified and incremental approach to AI ethics, but appears incremental as it builds on existing principles like the free energy principle.
This paper tackles the problem of developing AI ethics by proposing the e-person architecture, which uses uncertainty reduction through collaborative cognition as a unified basis, and introduces a framework based on the free energy principle to implement it, though no concrete results or numbers are provided.
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.