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/>
Authors
- Marinella P. J. Offerman (ORCID: https://orcid.org/0000-0001-8923-8354)
- M. H. Sonneveld
- Tina Ekhtiar (ORCID: https://orcid.org/0000-0003-2981-8853)
- Benedetta Lusi (ORCID: https://orcid.org/0000-0001-8693-5453)
- Stefan N. R. Buijsman
- Marco C. Rozendaal
- Dylan Thomas Doyle
- Chan Mi; id_orcid 0000-0003-0495-9158 Kim
- Boyd van den Besselaar
Institutions
- Queen Mary University of London (GB)
- University of Colorado Boulder (US)
- Erasmus MC (NL)
- University of Twente (NL)
- Delft University of Technology (NL)
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