在聊天机器人中整合情感和情感分析的伦理方面,用于抑郁症干预
Kerstin Denecke1, Elia Gabarron2,3
1AI for Health, Institute Patient-centered Digital Health, Bern University of Applied Sciences, Biel, Switzerland.
Frontiers in psychiatry
|November 29, 2024
概括
对于抑郁症干预的数字健康聊天机器人面临着道德挑战. 仔细的整合和专业的监督对于减轻与情绪分析相关的风险和确保在心理健康护理中用户的自主性至关重要.
科学领域:
- 数字健康数字健康
- 心理健康技术 技术 心理健康技术
- 人工智能伦理学 人工智能伦理学
背景情况:
- 聊天机器人越来越多地用于心理健康支持,使用人工智能来分析用户的情绪.
- 这些人工智能驱动的工具旨在提供同情的反应,并建议对抑郁症等疾病进行干预.
研究的目的:
- 检查使用人工智能驱动的聊天机器人用于抑郁症干预的伦理考虑.
- 在这些数字健康工具中识别和分析与情感分析相关的特定风险.
主要方法:
- 使用了数字伦理帆布和DTx风险评估帆布.
- 专注于将AI情感和情感分析集成到抑郁症干预聊天机器人的伦理维度.
主要成果:
- 在患有抑郁症的个体中准确识别情绪的风险.
- 从偏见的培训数据或基于字典或机器学习的情绪分析中的误解中突出风险.
- 确定某些伦理风险需要在专业监督下整合到护理过程中,而不仅仅是技术解决方案.
结论:
- 在实施AI聊天机器人用于抑郁症干预时,需要进行彻底的道德反思.
- 在使用技术来增强,而不是减少用户在心理健康中的自主性和代理权,平衡风险是必不可少的.
- 在人工智能驱动的心理健康干预中,专业监督是管理道德风险的关键.
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