心理治疗中的内部经验通过生成人工智能的外部化:理论,临床和伦理分析
Yuval Haber1, Dorit Hadar Shoval2, Inbar Levkovich3
1The Program of Hermeneutics and Cultural Studies, Interdisciplinary Studies Unit, Bar-Ilan University, Jerusalem, Israel.
Frontiers in digital health
|February 19, 2025
概括
生成型人工智能 (GenAI) 工具VIVI和DIVI通过将患者的情绪外部化来增强心理治疗,作为"人工第三方"来支持治疗师-患者关系. 伦理考虑和新的协议 (SAFE-AI) 对于负责任的AI整合到治疗中至关重要.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 外化技术是建立在诸如叙事和CBT之类的疗法中,使内部经验变得有形.
- 生成型人工智能 (GenAI) 和大型语言模型 (LLM) 提供了新的治疗干预可能性.
- 将GenAI整合到心理治疗实践中基本上是未经探索的,需要对其临床,伦理和理论影响进行检查.
研究的目的:
- 检查将GenAI整合到治疗中的临床,伦理和理论影响.
- 开发和测试人工智能驱动的外部化技术作为概念验证 (POC).
- 强调人类治疗师在人工智能辅助治疗干预中的重要作用.
主要方法:
- 开发了两个定制的GPT代理:VIVI用于使用DALL-E 3的视觉外部化,DIVI用于对话式角色扮演外部化.
- 通过临床案例研究实施和评估VIVI和DIVI.
- 在专业心理指导下进行评估.
主要成果:
- 基因AI工具 (VIVI,DIVI) 充当了"人工第三方",培养了温尼科蒂式的游戏空间,增强了治疗师与患者的关系.
- 成功地外部化了复杂的内部患者动态,开辟了新的治疗途径.
- 确定了挑战,包括在人工智能驱动的外部化中固有的同情失败和文化偏见.
结论:
- 基因人工智能对人工智能增强疗法具有重大前景,但在数据安全性,准确性和临床权威方面存在道德复杂性.
- 建议采用SAFE-AI协议,以指导临床医生在治疗环境中负责任地整合AI.
- 需要进一步的研究来评估这些人工智能工具在不同人群和环境中的通用性,有效性和伦理影响.
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