AI for Future-Proof Palliative Care: A Relational Approach

This three-hour workshop invites the IH community to explore<br/>how AI could support and shape ecologies of future palliative care.<br/>To envision more holistic and sustainable AI-supported palliative<br/>care, we frame transitions through three layers of care (individual, community, and professional services) and adopt a relational<br/>approach inspired by More-than-Human design practices. This approach foregrounds how AI is entangled with diverse users across<br/>these layers. Using speculative and participatory design methods,<br/>participants will envision AI-supported care futures and identify<br/>emerging research directions at the intersection of palliative care,<br/>HCI, and AI. Building on prior ACM workshops combining perspectives on AI, clinical practice, and care in sensitive life transitions,<br/>this workshop offers a space to reflect on key challenges and opportunities, and to co-develop design principles and roadmap toward<br/>relational, responsible, and sustainable futures of AI in palliative<br/>care.<br/>

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Publication Details

Published
2026-07-02
DOI
https://doi.org/10.1145/3786579.3799791
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI for Future-Proof Palliative Care: A Relational Approach

Marinella P. J. Offerman, M. H. Sonneveld, Tina Ekhtiar, Benedetta Lusi et al.
Ethics and Social Impacts of AI
article

AI for Future-Proof Palliative Care: A Relational Approach

Marinella P. J. Offerman, M. H. Sonneveld, Tina Ekhtiar, Benedetta Lusi, Stefan N. R. Buijsman, Marco C. Rozendaal, Dylan Thomas Doyle, Chan Mi; id_orcid 0000-0003-0495-9158 Kim, Boyd van den Besselaar
article en

Abstract

This three-hour workshop invites the IH community to explore<br/>how AI could support and shape ecologies of future palliative care.<br/>To envision more holistic and sustainable AI-supported palliative<br/>care, we frame transitions through three layers of care (individual, community, and professional services) and adopt a relational<br/>approach inspired by More-than-Human design practices. This approach foregrounds how AI is entangled with diverse users across<br/>these layers. Using speculative and participatory design methods,<br/>participants will envision AI-supported care futures and identify<br/>emerging research directions at the intersection of palliative care,<br/>HCI, and AI. Building on prior ACM workshops combining perspectives on AI, clinical practice, and care in sensitive life transitions,<br/>this workshop offers a space to reflect on key challenges and opportunities, and to co-develop design principles and roadmap toward<br/>relational, responsible, and sustainable futures of AI in palliative<br/>care.<br/>

Queen Mary University of London (GB), University of Colorado Boulder (US), Erasmus MC (NL), University of Twente (NL), Delft University of Technology (NL)
Life in Land
Openalex Percentile: Top 49%
Ethics and Social Impacts of AI
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