评估人工智能生成的关于长效可逆避孕方法的信息的可靠性
Grace Riley1, Elizabeth Wang1, Camille Flynn2
1David Geffen School of Medicine at UCLA, Los Angeles, USA.
概括
聊天GPT提供长效可逆避孕 (LARC) 的信息通常是准确的,但用户应该意识到偶尔的不准确性和过时的信息. 需要进一步的研究,以确保人工智能产生的健康信息是可靠的.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 生殖健康 生殖健康
背景情况:
- 像ChatGPT这样的人工智能 (AI) 聊天机器人越来越多地用于访问健康信息.
- 长效可逆避孕 (LARC) 是生殖保健的关键组成部分.
- 评估人工智能生成的LARC信息的准确性对于公共卫生至关重要.
研究的目的:
- 评估ChatGPT提供的关于LARC信息的准确性和质量.
- 在人工智能生成的响应中识别潜在的不准确性,偏见和可读性问题.
主要方法:
- 在三天的时间里,对ChatGPT提出了一组关于LARC的8个常见问题.
- 两个独立的编码人员分析了答案的准确性,语言包容性和可读性.
- 通过改变LARC名称 (例如",激素植入物"与"Nexplanon") 来测试术语的变化.
主要成果:
- 在264个答案中,69.3%的答案是准确的,而16.3%的答案是不准确的.
- 常见的不准确性包括过时的使用时间和关于风险的误导性陈述 (例如,IUD和盆腔炎症疾病).
- 45.1%的回答使用了性别专属的语言,平均可读性得分表明了大学阅读水平.
结论:
- 聊天GPT可以成为LARC信息的宝贵资源,但由于潜在的不准确性,用户必须谨慎使用.
- 人工智能依赖于2021年10月之前的数据存在重大局限性.
- 确保人工智能产生的健康内容的可靠性和包容性需要持续评估和改进.
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