生成型人工智能缺乏人类创造力,无法从头开始实现科学发现
1Emlyon Business School, Lyon, France. ding@em-lyon.com.
Scientific reports
|March 21, 2025
概括
生成型人工智能 (GenAI) 可以进行渐进的科学发现,但与原始假设和基本见解作斗争. 目前的GenAI需要现有知识或人类指导来进行科学创新.
科学领域:
- 分子遗传学 分子遗传学
- 科学中的人工智能.
背景情况:
- 评估生成人工智能 (GenAI) 对科学发现的潜力是一个关键的研究领域.
- 之前的研究表明,关于GenAI在科学研究中的能力,结果各不相同.
研究的目的:
- 调查GenAI可以实现的科学发现的范围和性质.
- 评估GenAI在分子遗传学中的假设生成,实验设计和结果解释方面的作用.
主要方法:
- 使用计算机支持的分子遗传学实验室.
- 让GenAI扮演一个科学家的角色,去追求一个值得诺贝尔奖的发现.
主要成果:
- 基因人工智能证明了对增量发现的能力,但不是基本的,新的见解.
- 基因人工智能无法独立生成原始假设或识别异常.
- 当利用现有的领域知识或人类专业知识时,GenAI的表现最好.
结论:
- 目前的GenAI仅限于在已建立的知识框架下协助发现任务.
- 基因人工智能表现出过度自信,缺乏真正科学突破的人类能力.
- 解决GenAI的局限性和伦理考虑对于其融入科学发现至关重要.
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