AI-driven platform care: Promoting equal and inclusive job quality in long-term care
CareQuAI will open “the black box” of AI-driven platform care, through cross-national comparison, organisational case studies, stakeholder involvement and the participation of care workers in development of equal and inclusive platform care. It will address the effects of AI-driven platform use on workforce shortages, job quality (and relatedly care quality), and will produce solution-focused guidelines and recommendations responding to issues of equality and inclusion. The project explores technological affordances, opportunities and social consequences of platform care in three European countries: the UK, Sweden and Finland. CareQuAI has three objectives: to analyse cross-national differences in how AI-driven platform care is provided in Europe; to produce cross-national guidelines on equal and inclusive AI-driven platform work in LTC services; to contribute to policy, practice and frameworks that support decent work via AI-driven care platforms.
Research team:
Sanna Kuoppamäki (PI), KTH
Lucy McCarren, PhD student, KTH
Andreas Naoum, Master Student, KTH
Lisa Sukiennik, Research Intern at KTH, Lyon Catholic University, France
Reseach consortium:
Helena Hirvonen (PI and consortium coordinator), University of Eastern Finland
Diane Burns (PI), University of Sheffield, UK
Publications and conference presentations:
Hirvonen, H., Burns, D., Kuoppamäki, S., Hamblin, K., Whitfield, G., Elliott, C. (2025). Decent work through Al-driven platform care? Exploring possibilities for equal and inclusive long-term care in the UK, Sweden and Finland. Tranforming Care Conference, June 25–27th University of Helsinki.
Funding and grant decision: FORTE, JPI/MYBL
