Ethical framework for AI education based on large language models

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.

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Publication Details

Journal
Education and Information Technologies
Published
2024-12-23
DOI
https://doi.org/10.1007/s10639-024-13241-6
Citations
21
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
7.29
Controls
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article

Ethical framework for AI education based on large language models

Yuyang Yan, Hui Liu
21 citations
Education and Information Technologies
Explainable Artificial Intelligence (XAI)
7.29
article

Ethical framework for AI education based on large language models

Yuyang Yan, Hui Liu
article en
21 citations

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.

Education and Information TechnologiesVol. 30(8)
Guangzhou University (CN)
Quality Education
Openalex Percentile: Top 2%
Explainable Artificial Intelligence (XAI)
7.29
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Ethical framework for AI education based on large language models — Yuyang Yan, Hui Liu · Education and Information Technologies (2024) | TGRS Research Map | TGRS