聊天机器人在关于光化学基本概念的查询中的表现
Masahiko Taniguchi1, Jonathan S Lindsey1
1Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA.
Photochemistry and photobiology
|November 4, 2024
概括
聊天机器人在基本的光化学问题上表现出适度的成功,但在诸如染料之类的专业话题上却扎不前. 它们目前的不可靠性使得它们不适合无监督教育,强调需要专家监督.
科学领域:
- 光化学,一个综合化学和物理的多学科领域.
- 应用范围涵盖天文学,动物学和材料科学.
背景情况:
- 人工智能 (AI) 聊天机器人在信息获取和知识生成方面提供了潜在的社会转变.
- 人工智能融入科学教育和培训是一个新兴的领域.
研究的目的:
- 评估当前人工智能聊天机器人在回答与光化学相关的查询中的有效性.
- 通过基本,实用,哲学和专业的光化学概念来评估聊天机器人的性能.
主要方法:
- 测试了五个领先的聊天机器人 (ChatGPT 3.5,ChatGPT 4.0,Copilot,Gemini高级,Meta AI).
- 每个聊天机器人都回答了13个不同的光化学问题,涵盖了各种复杂性的问题.
- 分析了答案的准确性,相关性和科学连贯性.
主要成果:
- 聊天机器人对于基本的光化学概念表现出中度的准确性.
- 在回答有关染料和光剂的专业查询时,观察到重大缺陷.
- 答案从科学上可信但不正确到完全没有意义的,尽管语法正确.
结论:
- 由于准确性问题,当前的AI聊天机器人对无人辅助的光化学教育不可靠.
- 这些发现强调了领域专家在验证人工智能生成的科学信息方面的关键作用.
- 需要进一步开发以提高AI在专业科学领域的精度和可靠性.
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