生成型人工智能如何描绘科学:从不同受众群体的角度采访ChatGPT
Sophia Charlotte Volk1, Mike S Schäfer1, Damiano Lombardi1
1University of Zurich, Switzerland.
Public understanding of science (Bristol, England)
|September 30, 2024
概括
像ChatGPT这样的生成人工智能越来越多地为科学主题提供信息. 这项研究揭示了ChatGPT通常以积极的方式描绘科学,尽管GPT版本之间个性化程度有所不同.
科学领域:
- 科学传播和人工智能
- 人工智能在科学信息传播中的作用
背景情况:
- 生成型人工智能 (AI),特别是ChatGPT,是一个不断增长的信息来源.
- 它越来越多地用于科学主题,需要对其对科学的描绘进行检查.
- 有限的研究存在于AI模型如何代表科学问题.
研究的目的:
- 分析ChatGPT如何呈现科学,科学沟通,科学不当行为和有争议的科学话题.
- 将不同用户配置文件和AI版本 (GPT-3.5与GPT-4) 的响应进行比较.
主要方法:
- 与ChatGPT.PT进行模拟的"采访".
- 人工智能产生的答案的定性和定量内容分析.
主要成果:
- 聊天GPT通常描绘科学,主要是STEM,积极和从一个积极的经验主义观点.
- 对气候变化和疫苗接种等主题的科学共识进行一致的沟通.
- 基于用户配置文件的响应个性化以及GPT-3.5和GPT-4之间的显著差异.
结论:
- 聊天GPT提供了一个很大程度上积极和共识驱动的科学观点.
- 人工智能模型版本和特定用户交互影响响应个性化和风格.
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