Data Ethics Framework for Artificial Intelligence in Education (AIED)

Y. Hong, Andy Nguyen, Belle Dang, Bich-Phuong Thi Nguyen
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Abstract

In recent years, we have gradually adopted the applications of artificial intelligence in education (AIED) to improve our understanding of students’ learning and enhance their learning experiences. AIED can have a profound impact on the educational landscape, influencing the role of all involved in education. The adoption of AIED and its related large-scale data collection and analysis to do with learners seriously concern human-rights and related ethical and privacy aspects. This paper presents conceptual research establishing a data ethics framework for AIED by mapping and analyzing international organizations’ current policies and guidelines. In addition to contributing to the discussion of the benefits of AI in education, this paper raises data ethics concern for AIED. The proposed framework helps promote the design, development, and implementation of ethical and trustworthy AIED.
教育人工智能数据伦理框架(AIED)
近年来,我们逐渐采用人工智能在教育中的应用(AIED)来提高我们对学生学习的理解,增强他们的学习体验。AIED可以对教育领域产生深远的影响,影响所有参与教育的人的角色。采用AIED及其相关的大规模数据收集和分析与学习者有关,严重涉及人权和相关的道德和隐私方面。本文通过对国际组织现行政策和指导方针的映射和分析,提出了建立AIED数据伦理框架的概念研究。除了有助于讨论人工智能在教育中的好处外,本文还提出了对人工智能的数据伦理关注。建议的架构有助于促进合乎道德和值得信赖的AIED的设计、发展和实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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