Data · dataset · 2026
From likelihood to desirability: Investigating the role of speculative methods and approaches to foster responsible AI in healthcare
Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.26188/34029366.v1
Description
<p dir="ltr">Poster presented at the <a href="eur.nl/en/research/research-services/ai-hype-hope-and-humanity" target="_blank" rel="noopener">AI Hype, Hope and Humanity (AI HHH) Festival</a>, September 30 to October 2, 2026, at <a href="instagram.com/p/DdZFS6TjE7W/" target="_blank" rel="noopener">De Doelen</a> and Erasmus University Rotterdam in Rotterdam, Netherlands. Judith van der Elst 1,3, Claudine Lamoth 1,2, Sacha Healy 4, Mirjam Plantinga 1,5: 1 - ELSA AI lab Northern Netherlands, Groningen, NL, 2 - Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, NL, 3 Hanze University of Applied Sciences, Groningen, NL, 4 Department of Education, University of Melbourne, Australia, 5 - Department of Genetics and Data Science Center in Health, University Medical Center Groningen, University of Groningen, Groningen, NL<br><br>Poster abstract: Current acceleration in AI development presents a <b>problem</b> with assessing the impact of new developments before implementation.
Anticipatory research as a dimension in responsible research innovation has gained attention to address this challenge and the associated uncertainty. Creative industries and professionals, including artists, are increasingly involved as part of research teams to accelerate innovative potential while exploring possible effects of such innovations on society at large. To ask critical questions of technological innovations, especially AI, artists may adopt speculative approaches.
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However, the ways in which these approaches contribute to research project goals at large is not fully understood by researchers less familiar with research involving speculative practices. One issue is that speculation means different things to different disciplines. In critical design traditions, speculative inquiry is about possibility thinking, the asking of “What if …?” whereas in the sciences it commonly refers to the proposition of hypotheses in the course of explaining, without having certainty of needed evidence.
The connection between the two is the presence of uncertainty. In this paper we lean into the uncertainty connection, asking: “What if uncertainty is a necessary condition of technological innovation in healthcare? What might happen if speculative inquiry is acknowledged as a legitimate research approach?
How might this be defined and embedded within current and future research structures? This paper responds to these provocations through a case study of interdisciplinary speculative workshops that came about after the initiation of an artistic research program, within ELSA-NN. The preliminary results were encouraging and urged us to further investigate the potential contribution of speculative approaches to responsible AI in healthcare through 1) reviewing current</p><p dir="ltr">literature on the role of speculation in science and humanities , and 2) <b>Prepare and organize an unconference to co-create methods and tools.</b></p>
Links
Where it is published
- DOI doi.org/10.26188/34029366.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 2 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34029366 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34029366 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:420302 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Digital health'] |
| concepts[field].anzsrc:field:420302 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Digital health'] |
| concepts[field].anzsrc:field:420602 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Health equity'] |
| concepts[field].anzsrc:field:420602 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Health equity'] |
| concepts[field].anzsrc:field:441011 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Sociology of health'] |
| concepts[field].anzsrc:field:441011 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Sociology of health'] |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |