人工持续纽带:在临床病理学中负责任地整合生成人工智能的建议框架
Alexander Manevich1,2, Shani Aluma3
1Department of Clinical Psychology of Adulthood and Aging, Ruppin Academic Center, Kfar Monash, Hefer Valley, Israel.
Omega
|August 25, 2025
概括
生成型人工智能 (GenAI) 提供了多病学方面的潜力,但伦理问题和有限的研究需要一个框架来负责任地整合悲伤实践.
科学领域:
- 数字健康
- 人工智能
- 病理学
背景情况:
- 人工智能 (GenAI) 越来越多地被用于心理健康领域,
- 死亡机器人
- 为哀悼者提供已故人的数字模拟.
- 这些技术带来了潜在的治疗效益以及道德和实际的挑战.
- 尽管越来越多的学术兴趣,但经验研究很少,该领域缺乏统一的知识基础.
研究的目的:
- 探索GenAI在瘤学中的整合.
- 检查GenAI在悲伤相关实践中的伦理,社会和临床影响.
- 提出一个在这个领域负责任地使用GenAI的框架.
主要方法:
- 在GenAI和thanatology中对当前发展和关键辩论进行文献审查.
- 对道德,社会和临床考虑的分析.
- 制定一个负责任的整合框架.
主要成果:
- 像聊天机器人和死亡机器人这样的GenAI应用在心理健康和悲伤支持方面正在出现.
- 这些技术的治疗潜力面临着重大的伦理和实践挑战.
- 经验研究的稀缺性和缺乏凝聚力的知识是该领域目前的特征.
结论:
- 一个结构化的框架对于对GenAI进行负责任的整合至关重要.
- 提出的框架强调了四个支柱:伦理/监管监督,理论基础,经验调查和临床实践.
- 需要进一步的研究和伦理指导方针来应对遗憾和终身护理的复杂性.
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