Publikationer från Malmö universitet
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Strange, M. & Tucker, J. (2024). A Paradigm Shift in Plain Sight?: AI and the Future of Healthcare in the Nordic States. Nordisk välfärdsforskning | Nordic Welfare Research, 9(2), 168-179
Åpne denne publikasjonen i ny fane eller vindu >>A Paradigm Shift in Plain Sight?: AI and the Future of Healthcare in the Nordic States
2024 (engelsk)Inngår i: Nordisk välfärdsforskning | Nordic Welfare Research, ISSN 1799-4691, E-ISSN 2464-4161, Vol. 9, nr 2, s. 168-179Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

All the Nordic states (except for Iceland at the time of analysis) have published a national artificial intelligencestrategy (NAIS) document. The NAISs provide a window through which to view a consolidated point where statesset out a socio-technical imaginary ostensibly focused on the impact of AI on the national society but, in so doing,communicate present-day value-laden assumptions. These future visions see an expansion in the scale and scope ofprivate-sector-driven AI applications in healthcare provision as inevitable, positive, and justified based on a promiseof efficiency. In so doing, the NAISs institutionalise a shift in how issues of participation, deliberation, and inclusionin health are structured in the future. The article asks what kind of ‘welfare’ the NAISs present for the Nordic regionwith respect to the governance, role, and ownership of AI healthcare. In so doing, it reveals how the NAISs providea vehicle by which to enable a paradigm shift in state–market relations that is, nonetheless, hidden from politicalscrutiny through its technological futurism

sted, utgiver, år, opplag, sider
Universitetsforlaget, 2024
Emneord
Nordic welfare, artificial intelligence, healthcare, public, private
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-69687 (URN)10.18261/nwr.9.2.5 (DOI)2-s2.0-85196823882 (Scopus ID)
Tilgjengelig fra: 2024-07-01 Laget: 2024-07-01 Sist oppdatert: 2024-08-29bibliografisk kontrollert
Strange, M. (2024). Beyond ‘Our product is trusted!’ – A processual approach to trust in AI healthcare. In: Petter Ericson; Nina Khairova; Marina De Vos (Ed.), Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024: . Paper presented at Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024 (pp. 59-68). Ceur, 3825
Åpne denne publikasjonen i ny fane eller vindu >>Beyond ‘Our product is trusted!’ – A processual approach to trust in AI healthcare
2024 (engelsk)Inngår i: Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024 / [ed] Petter Ericson; Nina Khairova; Marina De Vos, Ceur , 2024, Vol. 3825, s. 59-68Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Trust in AI healthcare technologies is often treated as an obtainable end-state enforceable byregulation, in which developers can claim their product to be ‘trusted’. The article shows thelimits of this approach, arguing instead for a processual understanding in which trust isunderstood to be dynamic and forever a state ‘to come’. The argument is developed byconsidering several types of trust relations amongst key stakeholders in AI healthcare, includingwhere developers often distrust users. Drawing on political theory and Coactive Design, thearticle argues that trust relations as a negotiation are integral to a well-functioning designprocess that not only supports the moral acceptability of AI healthcare technologies but also theirinnovation and efficacy.

sted, utgiver, år, opplag, sider
Ceur, 2024
Serie
Ceur Workshop Proceedings, E-ISSN 1613-0073
Emneord
Trust, Healthcare, Artificial Intelligence, Process, Coactive Design1
HSV kategori
Forskningsprogram
Global politik; Hälso-och samhällsstudier; Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-72285 (URN)2-s2.0-85210319824 (Scopus ID)
Konferanse
Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024
Tilgjengelig fra: 2024-11-19 Laget: 2024-11-19 Sist oppdatert: 2025-01-23bibliografisk kontrollert
Strange, M. (2024). Beyond the hype, what does AI mean for the future of healthcare?. In: : . Paper presented at Den 8. nasjonale konferansen for omsorgsforskning (8th national conference for care science research), Drammen, Norway. 23-24 October 2024.
Åpne denne publikasjonen i ny fane eller vindu >>Beyond the hype, what does AI mean for the future of healthcare?
2024 (engelsk)Konferansepaper, Oral presentation with published abstract (Annet vitenskapelig)
Abstract [en]

AI’s role in healthcare has been hyped both via utopian and dystopian narratives, with the latter often used to argue that the technology is the only saviour to a labour and cost crisis. The problem with hype is that it undermines the nuance and debate needed if we are to use this still-largely-speculative technology for societal good. Where such technology is dominated by big firms based far away, how can municipal care providers ensure sufficient control to maintain quality when using AI? What procedures and processes are necessary to ensure that the use of AI in, for example, care assessment decisions doesn’t erode basic values and democratic rights within the welfare model? In considering these questions, the talk will outline the key political and ethical issues faced when adopting AI in healthcare with a particular focus on the welfare model.

Emneord
AI, politics, health
HSV kategori
Forskningsprogram
Global politik
Identifikatorer
urn:nbn:se:mau:diva-71738 (URN)
Konferanse
Den 8. nasjonale konferansen for omsorgsforskning (8th national conference for care science research), Drammen, Norway. 23-24 October 2024
Tilgjengelig fra: 2024-10-23 Laget: 2024-10-23 Sist oppdatert: 2024-10-28bibliografisk kontrollert
Strange, M. & Tucker, J. (2024). Collaborative Future-Making: Bridging the Everyday and the Global Political Economy of Automated Health. In: Vaike Fors ; Martin Berg and Meike Brodersen (Ed.), The De Gruyter Handbook of Automated Futures: Imaginaries, Interactions and Impact (pp. 223-238). Walter de Gruyter
Åpne denne publikasjonen i ny fane eller vindu >>Collaborative Future-Making: Bridging the Everyday and the Global Political Economy of Automated Health
2024 (engelsk)Inngår i: The De Gruyter Handbook of Automated Futures: Imaginaries, Interactions and Impact / [ed] Vaike Fors ; Martin Berg and Meike Brodersen, Walter de Gruyter, 2024, s. 223-238Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

Health services and medical research are subject to growing use of ADM. Whilst such technology brings many benefits, it is important to understand that it is not just a tool but involves a more fundamental shift in the infrastructure through which healthcare takes place. Where that development is driven by the private sector, it also indicates a wider paradigmatic change in how healthcare is provided. To ensure that ADM in healthcare follows an equitable path that benefits humanity, it is necessary to begin asking critical questions as to the power relations through which it is taking place but also it maintains and strengthens as the technology becomes ubiquitous. The chapter expands on the notion of the everyday as a means for contesting the current elitist and exclusionary model of ADM in healthcare by drawing upon two other related but distinct approaches to the everyday-‘Everyday International Political Economy’ in which the everyday can sometimes take power through institutional and economic means, and Davina Cooper’s focus on ‘everyday utopias’ as a space in which actors can perform alternative ways of social and political being. An enriched understanding of the everyday provides a means to reimagine the automation of healthcare as a sphere for collaborative future-making that is much more equitable than the currently skewed economic model for global health.

sted, utgiver, år, opplag, sider
Walter de Gruyter, 2024
Emneord
Future, Global Political Economy, Health, Automated, Collaborative, Policy, Participation
HSV kategori
Forskningsprogram
Hälsa och samhälle
Identifikatorer
urn:nbn:se:mau:diva-71340 (URN)10.1515/9783110792256-014 (DOI)9783110792249 (ISBN)9783110792256 (ISBN)
Tilgjengelig fra: 2024-09-23 Laget: 2024-09-23 Sist oppdatert: 2024-10-04bibliografisk kontrollert
Strange, M. & Tucker, J. (2024). Global governance and the normalization of artificial intelligence as ‘good’ for human health. AI & Society: The Journal of Human-Centred Systems and Machine Intelligence, 39(6), 2667-2676
Åpne denne publikasjonen i ny fane eller vindu >>Global governance and the normalization of artificial intelligence as ‘good’ for human health
2024 (engelsk)Inngår i: AI & Society: The Journal of Human-Centred Systems and Machine Intelligence, ISSN 0951-5666, E-ISSN 1435-5655, Vol. 39, nr 6, s. 2667-2676Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The term ‘artificial intelligence’ has arguably come to function in political discourse as, what Laclau called, an ‘empty signifier’. This article traces the shifting political discourse on AI within three key institutions of global governance–OHCHR, WHO, and UNESCO–and, in so doing, highlights the role of ‘crisis’ moments in justifying a series of pivotal re-articulations. Most important has been the attachment of AI to the narrative around digital automation in human healthcare. Greatly enabled by the societal context of the pandemic, all three institutions have moved from being critical of the unequal power relations in the economy of AI to, today, reframing themselves primarily as facilitators tasked with helping to ensure the application of AI technologies. The analysis identifies a shift in which human health and healthcare is framed as in a ‘crisis’ to which AI technology is presented as the remedy. The article argues the need to trace these discursive shifts as a means by which to understand, monitor, and where necessary also hold to account these changes in the governance of AI in society.

sted, utgiver, år, opplag, sider
Springer, 2024
Emneord
AI, Crisis, Discourse, Global governance, Health
HSV kategori
Forskningsprogram
Global politik
Identifikatorer
urn:nbn:se:mau:diva-62518 (URN)10.1007/s00146-023-01774-2 (DOI)001369769000036 ()2-s2.0-85171198964 (Scopus ID)
Tilgjengelig fra: 2023-09-13 Laget: 2023-09-13 Sist oppdatert: 2025-01-07bibliografisk kontrollert
Strange, M. (2024). If AI is to Heal Our Healthcare Systems, We Need to Redesign How AI Itself is Developed. Tech Policy Press (2024-10-25)
Åpne denne publikasjonen i ny fane eller vindu >>If AI is to Heal Our Healthcare Systems, We Need to Redesign How AI Itself is Developed
2024 (engelsk)Inngår i: Tech Policy Press, nr 2024-10-25Artikkel i tidsskrift (Annet (populærvitenskap, debatt, mm)) Published
sted, utgiver, år, opplag, sider
Tech Policy Press, 2024
HSV kategori
Forskningsprogram
Global politik
Identifikatorer
urn:nbn:se:mau:diva-71797 (URN)
Tilgjengelig fra: 2024-10-25 Laget: 2024-10-25 Sist oppdatert: 2024-10-29bibliografisk kontrollert
Strange, M. (2024). Is everything 'AI' really AI?.
Åpne denne publikasjonen i ny fane eller vindu >>Is everything 'AI' really AI?
2024 (engelsk)Annet (Annet (populærvitenskap, debatt, mm))
Abstract [en]

Just recently Amazon announced that it will no longer use ‘no-checkout’ payment – a system where AI would supposedly monitor and tally up whatever you were removing from the shelves – because it wasn’t working as planned. What had been billed as a technological AI-fuelled revolution in retail was, supposedly, dependent on cheap human labour based in India watching security camera footage.[1] Such stories are increasingly common, functioning as urban myths that remind us of an alternate reality behind the utopian allure of techno-hype. But going beyond the question of whether AI is driven by micro-processors or underpaid agency workers, how much of what our politicians and business leaders call ‘AI’ is really AI?

Emneord
Artificial Intelligence, Hype, International Political Economy, Politics
HSV kategori
Forskningsprogram
Global politik
Identifikatorer
urn:nbn:se:mau:diva-66936 (URN)
Prosjekter
Future Society and Democracy
Tilgjengelig fra: 2024-04-26 Laget: 2024-04-26 Sist oppdatert: 2024-10-29bibliografisk kontrollert
Strange, M. (2024). Participatory approaches in the deployment of AI in healthcare, Invited keynote presentation. In: : . Paper presented at 2024 Conference of the Collaborative Action Research Network (CARN), Malmö, October 24-26, 2024.
Åpne denne publikasjonen i ny fane eller vindu >>Participatory approaches in the deployment of AI in healthcare, Invited keynote presentation
2024 (engelsk)Konferansepaper, Oral presentation only (Annet vitenskapelig)
HSV kategori
Forskningsprogram
Global politik; Hälsa och samhälle; Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-71799 (URN)
Konferanse
2024 Conference of the Collaborative Action Research Network (CARN), Malmö, October 24-26, 2024
Prosjekter
Multistakeholder perspectives and experience of trust in digital health and AI
Tilgjengelig fra: 2024-10-25 Laget: 2024-10-25 Sist oppdatert: 2024-10-28bibliografisk kontrollert
Strange, M. (2024). Three different types of AI hype in healthcare. AI and Ethics, 4(3), 833-840
Åpne denne publikasjonen i ny fane eller vindu >>Three different types of AI hype in healthcare
2024 (engelsk)Inngår i: AI and Ethics, ISSN 2730-5953, E-ISSN 2730-5961, Vol. 4, nr 3, s. 833-840Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Healthcare systems are the embodiment of big data – as evident in the logistics of resource management, estate maintenance, diagnoses, patient monitoring, research, etc. – such that human health is often heralded as one of the fields most likely to benefit from AI. Yet, the prevalence of hype – both positive and negative – risks undermining that potential by distracting healthcare policy makers, practitioners, and researchers from many of the non-AI factors that will determine its impact. Here we categorise AI hype in healthcare into three types that include both utopian and dystopian narratives and plot a series of more productive paths ahead by which to realise the potential of AI to improve human healthcare.

sted, utgiver, år, opplag, sider
Springer Nature, 2024
HSV kategori
Forskningsprogram
Global politik; Hälsa och samhälle
Identifikatorer
urn:nbn:se:mau:diva-66728 (URN)10.1007/s43681-024-00465-y (DOI)
Prosjekter
Citizen HealthAI Politics Hub
Forskningsfinansiär
Malmö University
Tilgjengelig fra: 2024-04-12 Laget: 2024-04-12 Sist oppdatert: 2024-09-02bibliografisk kontrollert
Strange, M., Mangrio, E., Olsson, C. M., Salvi, D., Bagheri, S. & Maus, B. (2024). Utgå inte från att AI alltid är lösningen i vården: Innovation kring hur vi använder AI i vården får inte bara bero på privata företag, skriver forskare från Malmö universitet som vill ta reda på vad som behövs för att bygga pålitlig AI. Dagens Samhälle (2024-10-24)
Åpne denne publikasjonen i ny fane eller vindu >>Utgå inte från att AI alltid är lösningen i vården: Innovation kring hur vi använder AI i vården får inte bara bero på privata företag, skriver forskare från Malmö universitet som vill ta reda på vad som behövs för att bygga pålitlig AI
Vise andre…
2024 (svensk)Inngår i: Dagens Samhälle, ISSN 1652-6511, nr 2024-10-24Artikkel i tidsskrift, News item (Annet (populærvitenskap, debatt, mm)) Published
sted, utgiver, år, opplag, sider
Bonnier Business Media AB, 2024
HSV kategori
Forskningsprogram
Hälsa och samhälle; Global politik; Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-71798 (URN)
Prosjekter
Multistakeholder perspectives and experience of trust in digital health and AI
Tilgjengelig fra: 2024-10-25 Laget: 2024-10-25 Sist oppdatert: 2024-10-28bibliografisk kontrollert
Prosjekter
Papperslösa flyktingbarns rättighetsanspråk; Malmö universitetPHED - Precision Health and Everyday Democracy; Malmö universitet; Publikasjoner
Strange, M. (2024). Beyond ‘Our product is trusted!’ – A processual approach to trust in AI healthcare. In: Petter Ericson; Nina Khairova; Marina De Vos (Ed.), Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024: . Paper presented at Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024) Malmö, Sweden, June 10-11, 2024 (pp. 59-68). Ceur, 3825Strange, M. (2024). Three different types of AI hype in healthcare. AI and Ethics, 4(3), 833-840Strange, M. (2020). AI and the everyday political-economy of global health: a research protocol. Malmö universitet
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-2903-7267