Ethical Emotion Regulation Framework for Agentic AI Inspired by Toegye Yi Hwang
A study has introduced a framework for ethical emotion regulation in agentic AI systems, inspired by the moral-emotional philosophy of Toegye Yi Hwang, a Korean Neo-Confucian scholar. Named the Ethical Emotion Feedback System (EEFS), this framework consists of five stages that correspond with agentic cycles, aiming to tackle issues related to managing moral-emotional processes in self-directed learning settings. Additionally, the paper presents an EEFS Evaluation Instrument for the thorough evaluation of moral-emotional alignment. This research is available on arXiv in the Computer Science > Computers and Society category.
Key facts
- The paper proposes an ethical emotion regulation framework for agentic AI.
- The framework is inspired by Toegye Yi Hwang's moral-emotional philosophy.
- The Ethical Emotion Feedback System (EEFS) is a five-stage architecture.
- EEFS aligns with agentic cycles for autonomous goal setting and proactive intervention.
- The paper introduces an EEFS Evaluation Instrument.
- The work is categorized under Computer Science > Computers and Society.
- The paper is available on arXiv.
- Toegye Yi Hwang is a Korean Neo-Confucian scholar.
Entities
Artists
- Toegye Yi Hwang
Institutions
- arXiv