Sep 2026· Death Studies· pp.
1-10
· 0 citations· 27 references
Medicine
TL;DR
It is concluded that AI technologies can complement human-centered grief support through responsible development characterized by interdisciplinary collaboration, transparency, cultural sensitivity, and an unwavering commitment to human dignity and welfare over commercial interests.
Abstract
The rapid integration of artificial intelligence (AI) into grief and bereavement care represents a significant technological shift with therapeutic potential and ethical complexity. This paper establishes evidence-informed assumptions and principles to guide the responsible development and use of AI technologies in grief support, addressing the needs of bereaved individuals, families, communities, professionals, technology developers, and policymakers. We define "Grief AI" as applications spanning five core technological domains: Natural Language Processing for information seeking and therapeutic conversations; Computer Vision for emotion analysis and immersive experiences; Machine Learning for trajectory forecasting and treatment matching; Conversational and Generative AI for grief bots; and Integrated Multimodal AI incorporating advanced autonomous systems. The paper classifies these applications into low-, medium-, and high-risk categories based on factors including depth of user engagement, AI autonomy, potential for psychological harm, level of human supervision, and posthumous consent considerations. The paper acknowledges unresolved tensions regarding the authenticity of AI-generated empathy, cultural evolution versus inappropriate technologization of sacred experiences, implications for healthy grief adaptation, environmental ethics, and professional transformation. These provocations highlight the need for ongoing dialogue as the field evolves. We conclude that AI technologies can complement human-centered grief support through responsible development characterized by interdisciplinary collaboration, transparency, cultural sensitivity, and an unwavering commitment to human dignity and welfare over commercial interests.
Through the lens of an updated Dull, Dirty, and Dangerous (D3) framework, this perspective piece offers a way of navigating human-AI collaboration in psychotherapy and the likely risks that might occur in practice.
Nathaniel Swinger, Cynthia M. Baseman, Rosa I. Arriaga· Frontiers in Human Dynamics· 0 citations
This work examined AI-related discourse on r/teenagers from January 2023 to July 2026 using validated keyword-based retrieval and a human-in-the-loop, LLM-assisted thematic analysis to position adolescent AI use not simply as technology adoption, but as an emerging negotiation over AI's place and boundaries in everyday...
The evolution of therapy from traditional face-to-face approaches to AI-assisted methods within the field of psychology and counselling is examined, highlighting the potential for hybrid models that combine human empathy with AI efficiency, offering scalable, proactive and ethically responsible mental health support.
Nurul Naimah Rose· International journal of res...· 0 citations
An integrative narrative review of interdisciplinary evidence on AI psychological companionship concludes that AI companions are consequential relational technologies whose net effect on public mental health will depend on deliberate scientific, ethical, and regulatory choices.
Sofia Elias, Nurul Aisyah Kamrozzaman· International journal of res...· 0 citations
This qualitative descriptive study examined how emerging adult students training in health sciences, psychology, and social work envision the collaboration between AI/AEI tools and human clinicians, converging on a synergetic model in which AI/AEI augments, rather than replaces, clinician judgment.
F. Joseph, J. G. Bernardshaw, C. Palanisamy· RESEARCH REVIEW Internationa...· 0 citations
A secondary, desk-based review synthesizing existing literature on the integration of AI into psychological assessment, diagnosis, intervention, and administrative practice suggests that while AI holds considerable promise for enhancing diagnostic accuracy, expanding access to mental health services, and reducing clini...
Michael Mbiriri· Journal of Humanities and So...· 0 citations
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