教高中生关于人工智能的伦理:一个范围审查协议
Calvin Hillis1, Maushumi Bhattacharjee2, Batool AlMousawi3
1The Creative School, Toronto Metropolitan University, Toronto, Ontario, Canada.
PloS one
|July 28, 2025
概括
在高等教育中教授人工智能 (AI) 伦理学对于减轻诸如偏见和隐私问题等风险至关重要. 本综述综合了关于人工智能道德教育及其评估方法的研究,以指导负责任的人工智能集成.
科学领域:
- 计算机科学 计算机科学
- 教育教育教育教育教育教育.
- 伦理学 伦理学 伦理学
背景情况:
- 人工智能 (AI) 存在风险,包括算法偏见,安全漏洞和隐私问题.
- 尽管存在风险,但人工智能在医疗保健,教育等领域提供了显著的社会效益.
- 在中学后教育中教授人工智能道德是解决人工智能相关危害的关键策略.
研究的目的:
- 综合现有关于向高中生教授人工智能伦理原则和实践的研究.
- 确定教育工作者用来评估学生知识,技能,态度和有关AI道德行为的变化的方法.
主要方法:
- 根据Arksey和O'Malley的框架进行范围审查.
- 在多个数据库 (PubMed,Scopus,ERIC等) 中进行结构化的文献搜索. 使用教育,人工智能和道德的概念.
- 监督机器学习以协助抽象识别,通过PRISMA-ScR检查清单报告结果.
主要成果:
- 提供了当前AI伦理教育在中学后课程中的综合.
- 评估各种教学策略及其潜在结果.
- 识别了人工智能伦理学的教学方法.
结论:
- 通知未来的研究,政策制定和教学实践,以负责任地整合人工智能.
- 增强对人工智能道德教育复杂性的理解.
- 塑造了跨学科的学生如何学习AI道德.
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