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 Royal Institute of Technology, Sweden
Helena Hirvonen (PI and consortium coordinator), University of Eastern Finland
Diane Burns (PI), University of Sheffield, UK 

Funding and grant decision: FORTE, JPI/MYBL