聊天GPT作为一个起的力量:人工智能可以弥合职业风险预防的信息差距吗?
Alejandro García-Rudolph1,2,3, David Sanchez-Pinsach1,2,3, Javier Remacha1,2,3
1Department of Research and Innovation, Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain.
Work (Reading, Mass.)
|June 13, 2025
概括
这项研究评估了ChatGPT在职业健康方面的表现,发现GPT-4比GPT-3.5更准确,但两者都需要改进. 对于可靠的职业健康应用,建议进行进一步的验证和培训.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 医疗保健中的人工智能
- 信息科学 信息科学 信息科学
背景情况:
- 信息短缺在职业健康方面是一个重大障碍.
- 广泛使用的AI工具ChatGPT在职业健康领域的应用需要严格的验证.
- 评估像ChatGPT这样的AI模型对于确保在专业领域准确传播信息至关重要.
研究的目的:
- 评估GPT-3.5和GPT-4在回答与职业风险预防相关的正式多选择题方面的表现.
- 在专业领域比较ChatGPT的免费 (GPT-3.5) 和付费 (GPT-4) 版本的准确性.
主要方法:
- 对303个职业风险预防多选题进行了全面评估.
- 问题按复杂性 (具体任务,国家,欧洲,全球) 和地理范围 (西班牙地区) 分类.
主要成果:
- 与GPT-3.5 (56.8%) 相比,GPT-4的准确性更高 (73.9%) (p < 0.001).与GPT-3.5相比,GPT-4的准确性更高 (p < 0.001).
- GPT-3.5存在重大局限性,特别是在特定领域的职业健康内容方面.
- 两种模型在不同地区都表现出一致的错误模式,错误答案率在18-24%之间.
结论:
- 虽然GPT-4显示了改进的能力,但这两种AI模型对职业健康应用都有显著的局限性.
- 提高可靠性的建议包括正式验证,持续的模型培训,深入的错误分析和区域适应策略.
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