Ethical framework for AI education based on large language models
Yuyang Yan, Hui Liu
Abstract
With the rapid development of Artificial Intelligence in Education (AIED), ensuring that ethical principles are fully respected and implemented as AI technology drives educational innovation has become a pressing issue. Educators are actively exploring and establishing ethical guidelines for AIED, but the fragmented nature of existing research makes it challenging to develop a comprehensive ethical framework. Through a technical analysis of the AI development process, we found significant similarities between AI development and human education. Therefore, this study uses this analogy to help educators better understand AI principles and identify key areas where AIED may lack ethical standards. Consequently, we propose a five-step, multi-layered ethical framework for AIED to guide the specific deployment and implementation of ethical guidelines, and provide a set of ethical review processes for educational policymakers to regulate and review AIED applications.