A cautiously optimistic view of griefbot technology.

This paper presents a cautiously optimistic view of Large Language Model (LLM)-driven grief support technologies and their impact on user's wellbeing. We focus on "Griefbot" technology: a type of chatbot designed to help individuals cope with the loss of loved ones by simulating interactions with th...

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Publicado en:Phenomenology & the Cognitive Sciences Vol. 25; no. 3; pp. 611 - 634
Autores principales: Fu, Yuhan, Mei, Yifan
Formato: Artículo
Publicado: Springer Nature Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2026
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        atl: A cautiously optimistic view of griefbot technology.
      aug:
        au:
          Fu, Yuhan
          Mei, Yifan
        affil:
          https://ror.org/0064kty71 Institute of Logic and Cognition, Sun Yat-sen University, Guangzhou, China
          https://ror.org/0064kty71 Department of Philosophy, Sun Yat-sen University, 135 XinGangxi Road, Haizhu District, Guangzhou, China
      su:
        Grief
        Artificial intelligence & ethics
        Memorials
        Affective computing
        Grief therapy
        Bereavement
        Language models
      sug:
        subj:
          Grief
          Artificial intelligence & ethics
          Memorials
          Affective computing
          Grief therapy
          Bereavement
          Language models
      keyword:
        AI Ethics
        Cognitive Science
        Domain-Specificity
        Griefbot
        Self-Identity
      ab: This paper presents a cautiously optimistic view of Large Language Model (LLM)-driven grief support technologies and their impact on user's wellbeing. We focus on "Griefbot" technology: a type of chatbot designed to help individuals cope with the loss of loved ones by simulating interactions with the deceased. Drawing from cognitive science, we argue that grief is best understood as a domain-specific psychological mechanism. This mechanism is activated by the loss of significant relationships due to death. Grief process aims at adaptation and self-identity reconstruction. We contend that griefbots do not disrupt the grieving process but instead align with it, serving as tools that enhance individuals' ability to navigate personal loss and reconstruct meaning. By situating Griefbot within the historical context of grief technologies—from Bronze Age artifacts to contemporary digital memorials—we argue that such LLMdriven tools complement, rather than replace, traditional grieving practices by offering a personalised and private space for reflection. Finally, we critically assess ethical concerns, including emotional dependency, autonomy, and the commodification of grief. We conclude that, if responsibly developed, Griefbot and similar AI technologies can enrich the grieving practices without fundamentally altering grief's psychological underpinnings.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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