e-person Architecture and Framework for Human-AI Co-adventure Relationship

Fuente: arXiv
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Autores principales: Esaki, Kanako, Matsumura, Tadayuki, Shao, Yang, Mizuno, Hiroyuki
Formato: Preprint
Publicado: 2025
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author Esaki, Kanako
Matsumura, Tadayuki
Shao, Yang
Mizuno, Hiroyuki
author_facet Esaki, Kanako
Matsumura, Tadayuki
Shao, Yang
Mizuno, Hiroyuki
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2503_22181
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle e-person Architecture and Framework for Human-AI Co-adventure Relationship
Esaki, Kanako
Matsumura, Tadayuki
Shao, Yang
Mizuno, Hiroyuki
Computers and Society
Artificial Intelligence
Human-Computer Interaction
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.
title e-person Architecture and Framework for Human-AI Co-adventure Relationship
topic Computers and Society
Artificial Intelligence
Human-Computer Interaction
url https://arxiv.org/abs/2503.22181