卫生虚假信息使用案例强调迫切需要人工智能警:大规模虚假信息的武器
Bradley D Menz1, Natansh D Modi1, Michael J Sorich1
1Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
JAMA internal medicine
|November 13, 2023
概括
人工智能 (AI) 可以快速生成大量的健康错误信息,构成重大公共卫生风险. 迫切需要警和监管来管理AI.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能 (AI) 在医学上具有显著的潜力.
- 然而,人工智能也对产生有针对性的健康虚假信息构成重大风险.
- 这需要医疗专业人员,人工智能开发人员和监管机构的立即关注.
研究的目的:
- 为了证明人工智能能够产生大量健康错误信息的能力.
- 强调迫切需要人工智能警和医疗保健中的监管框架.
- 探索减轻人工智能驱动的健康错误信息的潜在策略.
主要方法:
- 利用公开可用的大型语言模型生成虚假信息内容.
- 采用生成性AI工具来创建伴随的逼真的图像.
- 没有专门的AI知识的研究人员执行了内容生成.
主要成果:
- 在65分钟内,在102篇博客文章中产生了超过17,000个虚假信息词.
- 虚假信息以虚假的证词和看似科学的参考资料针对不同的人口统计数据.
- 在不到2分钟的时间内创建了20个现实的AI生成图像.
结论:
- 不够的AI防护使得深入,快速生成令人信服的错误信息.
- 人工智能的进步为公众健康带来了新出现的风险.
- 药物监督原则,包括透明度,监督和监管,对于管理AI风险至关重要.
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