从教育中的用户镜头解读人工智能伦理:系统性审查
Qin An1, Jingmei Yang2, Xiaoshu Xu3
1Higher Education Development Center, University of Otago, Otago, New Zealand.
Heliyon
|December 6, 2024
概括
教育中的人工智能 (AIED) 提出了伦理挑战. 本研究为AIED开发了以用户为中心的伦理准则,解决了学习分析和算法的当前框架中的差距.
科学领域:
- 教育技术的教育技术
- 人工智能伦理学 人工智能伦理学
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 正在迅速发展,为教育提供了显著的好处.
- 然而,人工智能在教育中的扩展引发了关键的伦理困境.
- 现有的关于教育中的AI伦理的研究,特别是从用户的角度来看,是有限的.
研究的目的:
- 系统地审查教育中人工智能 (AIED) 的现有伦理框架.
- 从用户的角度确定与AIED相关的伦理问题.
- 为AIED构建全面的道德准则.
主要方法:
- 进行了对2018年1月至2023年6月期间发表的17篇经验性文章的系统审查.
- 文章来源于同行评审期刊和会议.
- 分析的重点是确定道德框架,用户关注点和指导方针开发领域.
主要成果:
- 现有的AIED伦理框架往往忽视了学习分析和算法伦理等关键方面.
- 在AIED中,当前的伦理标准和以用户为中心的关注之间存在着显著的差距.
- 确定的主要伦理问题包括数据隐私,算法偏见和AIED系统的透明度.
结论:
- 该研究为AIED提出了包容性和以用户为中心的伦理准则,以解决发现的差距.
- 为利益相关者制定和实施这些指南,提供了可行的建议.
- 概述了未来的研究方向,以推进道德AIED实践.
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