培养以人为中心的人工智能:教育中的文化适应性思维 (CATE)
Yana Samuel1, Margaret Brennan-Tonetta2, Jim Samuel2
1Middlesex County College, Edison, NJ, United States.
Frontiers in artificial intelligence
|December 18, 2023
概括
在全球范围内教授人工智能 (AI) 需要文化敏感的方法. 新的AI教育中的文化适应性思维 (CATE-AI) 框架解决了各种学习者的需求,防止了AI恐惧症和偏见.
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.
- 社会学 社会学 社会学
背景情况:
- 人工智能 (AI) 已经普及,但全球对它的理解仍然有限.
- 现有的人工智能教育计划忽视了文化多样性和学习者的期望.
- 在人工智能教育中缺乏文化背景可能会导致混乱,偏见和抵抗.
研究的目的:
- 在AI教育中引入文化适应性思维 (CATE-AI) 框架.
- 为了应对向多元化的全球观众教授人工智能的挑战.
- 促进有效和文化相关的人工智能教育.
主要方法:
- 开发CATE框架的增强版本.
- 分析与AI相关的新闻文章,以告知CATE-AI的发展.
- 整合人类行为理论,人工智能研究和教育框架.
主要成果:
- 介绍CATE-AI框架作为人工智能教育的新方法.
- 新闻文章的文本分析为文化适应提供了洞察力.
- 该框架整合了以人为中心的AI原则和教育策略.
结论:
- 通过适应社会文化需求,CATE-AI促进了更有效的AI学习.
- 对AI教育进行上下文化对于克服学习者抵抗和偏见至关重要.
- 该框架支持全球更广泛,更公平的人工智能素养.
关键词:
在这里,我们可以看到AIAIAI.人工智能教育AI教育人工智能哲学 人工智能哲学文化敏感的教学教学方式文化 文化 文化 文化教育教育教育教育的教育.教育性人工智能教育AI人为中心的人工智能人工智能更多相关视频
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