在教育AI中发现欺骗:日本中学生在与生成AI机器人互动时面临的挑战
1School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan.
Frontiers in artificial intelligence
|January 2, 2025
概括
在教育环境中,学生经常被生成AI聊天机器人欺骗. 与人类相似的面孔相比,动漫机器人面部的学习能力得到了提高,欺骗的易感性降低了.
科学领域:
- 人与计算机的交互
- 教育中的人工智能
- 认知心理学 认知心理学
背景情况:
- 生成型人工智能 (例如,ChatGPT) 通过对话代理提供了新的教育工具.
- 人工智能幻觉 (产生不正确信息) 构成学生混乱和错误信息的风险.
- 了解学生检测人工智能欺骗的能力对于安全地将人工智能整合到教育中至关重要.
研究的目的:
- 调查中学生是否可以检测来自社交机器人的欺骗性互动.
- 检查机器人面部外表对欺骗检测和学习有效性的影响.
- 评估不同类型的欺骗 (说谎,欺骗,欺骗,胡说八道) 对学生易受影响的影响.
主要方法:
- 研究人员对22名日本中学生进行了一项实验,他们使用了Furhat社交机器人.
- 学生与机器人进行了十次教学,机器人采用了各种欺骗技术.
- 机器人具有人类和动漫面部的外观来比较效果.
主要成果:
- 大多数学生被机器人的虚假信息所欺骗.
- 机器人的动漫面部外观提高了学习效率,降低了对欺骗的易感性.
- 动漫面孔的较低社会机构降低了其说服力和欺骗能力.
结论:
- 基于人工智能的教育工具需要精心设计和编写脚本,以减轻产生人工智能幻觉的风险.
- 动漫机器人面孔可能更有效的教育目的,由于增加了参与和减少欺骗的脆弱性.
- 需要进一步的研究来优化人工智能导师,以提供可靠和安全的学习体验.
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