在大型语言模型和生成人工智能时代的临床科学和实践
Stephen M Schueller1, Robert R Morris
1Department of Psychological Science, University of California, Irvine.
Journal of consulting and clinical psychology
|September 21, 2023
概括
大型语言模型 (LLM) 和生成人工智能 (AI) 在临床干预和研究方面提供了进步. 伦理考虑对于将这些强大的AI工具整合到医疗保健实践中至关重要.
科学领域:
- 人工智能的人工智能
- 临床心理学 临床心理学
- 医疗信息学 医疗信息学
背景情况:
- 大型语言模型 (LLM) 和生成人工智能 (AI) 的近期突破正在改变各种科学领域.
- 人工智能在医疗保健中的应用既带来机遇,也带来挑战.
- 了解人工智能在临床环境中的影响对于负责任的开发和部署至关重要.
研究的目的:
- 审查大型语言模型 (LLM) 和生成人工智能 (AI) 最近的进展.
- 探索这些人工智能技术如何在临床环境中支持人类干预.
- 讨论围绕在临床研究和实践中使用生成AI的伦理考虑.
主要方法:
- 关于LLM和生成AI的最新发展的文献综述.
- 对AI在临床干预支持中的应用进行分析.
- 讨论人工智能在医疗保健中的伦理框架.
主要成果:
- 在提高临床决策和干预策略方面,LLM和生成AI显示出前景.
- 人工智能可以帮助理解复杂的临床过程.
- 关键的伦理考虑包括数据隐私,算法偏见和问责制.
结论:
- 生成性AI和LLM为改善临床干预和研究提供了巨大的潜力.
- 为了安全有效地将AI整合到医疗保健中,需要采取积极的道德考虑方法.
- 需要进一步的研究才能充分实现人工智能的好处,同时减轻潜在的风险.
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