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

arXiv: https://arxiv.org/abs/2503.22181 · HTML: https://mlsanity.com/paper/2503.22181/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 18 of its 58 references that are in the map.
- First posted on arXiv 28 Mar 2025.

## Builds on (most cited first, 18 of 18)

- [A Survey on Bias and Fairness in Machine Learning](https://mlsanity.com/paper/1908.09635/) (2019)
- [Concrete Problems in AI Safety](https://mlsanity.com/paper/1606.06565/) (2016)
- [Recurrent World Models Facilitate Policy Evolution](https://mlsanity.com/paper/1809.01999/) (2018)
- [Principles alone cannot guarantee ethical AI](https://mlsanity.com/paper/1906.06668/) (2019)
- [The Ethics of AI Ethics -- An Evaluation of Guidelines](https://mlsanity.com/paper/1903.03425/) (2019)
- [Levels of AGI for Operationalizing Progress on the Path to AGI](https://mlsanity.com/paper/2311.02462/) (2023)
- [The Measure and Mismeasure of Fairness](https://mlsanity.com/paper/1808.00023/) (2018)
- [AI for social science and social science of AI: A Survey](https://mlsanity.com/paper/2401.11839/) (2024)
- [Human-AI Coevolution](https://mlsanity.com/paper/2306.13723/) (2023)
- [The impact of generative artificial intelligence on socioeconomic inequalities and policy making](https://mlsanity.com/paper/2401.05377/) (2023)
- [Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation](https://mlsanity.com/paper/2404.12056/) (2024)
- [A Minimal Active Inference Agent](https://mlsanity.com/paper/1503.04187/) (2015)
- [Making AI Intelligible: Philosophical Foundations](https://mlsanity.com/paper/2406.08134/) (2024)
- [Conceptualization and Framework of Hybrid Intelligence Systems](https://mlsanity.com/paper/2012.06161/) (2020)
- [Towards a framework for understanding societal and ethical implications of Artificial Intelligence](https://mlsanity.com/paper/2001.09750/) (2020)
- [Sensorimotor Visual Perception on Embodied System Using Free Energy Principle](https://mlsanity.com/paper/2006.06192/) (2020)
- [AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps](https://mlsanity.com/paper/2403.14681/) (2024)
- [Problems in AI, their roots in philosophy, and implications for science and society](https://mlsanity.com/paper/2407.15671/) (2024)

## Abstract (arXiv)

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.