Artificial Continuing Bonds: A Proposed Framework for Responsible Integration of Generative AI in Clinical Thanatology.

IF 1.3
Omega Pub Date : 2025-08-25 DOI:10.1177/00302228251372418
Alexander Manevich, Shani Aluma
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Abstract

This article explores the integration of generative artificial intelligence (GenAI) into the field of thanatology, with particular attention to its ethical, societal, and clinical implications. In recent years, GenAI technologies have increasingly been applied in mental-health settings, including the use of chatbots and so-called "deathbots" - digital simulations of deceased individuals that some mourners engage with to sustain a sense of connection and emotional comfort. While such technologies may offer therapeutic potential, they also raise significant ethical and practical challenges. Despite rising academic interest, empirical research in this domain remains scarce, and the field still lacks a cohesive body of knowledge. This article reviews current developments and key debates in the field and proposes a preliminary framework for the responsible integration of GenAI in grief-related practices. The framework outlines four critical pillars: ethical and regulatory oversight, development of theoretical foundations, promotion of empirical inquiry, and implementation of clinically informed practices.

人工连续键:生成人工智能在临床死亡学中负责任集成的提议框架。
本文探讨了生成式人工智能(GenAI)与死亡学领域的整合,特别关注其伦理、社会和临床意义。近年来,GenAI技术越来越多地应用于心理健康领域,包括使用聊天机器人和所谓的“死亡机器人”——一些哀悼者与死者进行数字模拟,以维持一种联系感和情感安慰。虽然这些技术可能提供治疗潜力,但它们也提出了重大的伦理和实践挑战。尽管学术界对该领域的兴趣日益浓厚,但该领域的实证研究仍然很少,并且该领域仍然缺乏一个有凝聚力的知识体系。本文回顾了该领域的当前发展和关键争论,并提出了一个初步框架,以负责任的方式将基因ai整合到与悲伤相关的实践中。该框架概述了四个关键支柱:伦理和监管监督、理论基础的发展、促进经验调查以及临床知情实践的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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