June 8-9, 2026
KTH Royal Institute of Technology
Hälsovägen 11 C

Artificial intelligence (AI) is often promoted as a solution to improve diagnostics and medical decision-making and ensure a more efficient and person-centered care. AI-driven platforms that use automated systems to predict workflow needs, match supply and demand for care and automate administrative functions has received less attention, particularly in relation to equal and inclusive job quality in long-term care. In the CareQuAI project, we explore this topic through cross-national comparative research of AI-driven platform care for the long-term care of older adults in Sweden, Finland and the UK.
The aim of this workshop is to discuss how AI technologies should be designed to enhance equal and inclusive job quality in care work? We will explore question such as: How AI is currently used in platform organisations? How can AI be integrated into long-term care in ways that strengthen — rather than erode — care quality, worker agency, trust, and organisational resilience? What new competencies and literacies become necessary? How does AI reduce workload versus intensify it? What does “good automation” look like in relational care?
The first part of the workshop (June 8) will focus on discussing organisational ethnography as a method to explore in-depth the use of AI and digital technologies in the organisation of care work and care workers’ daily care practices. The workshop aims to serve as internal training and guidance for CareQuAI researchers as a part of the formal project framework for Work Package 2 – comparative case studies research.
The second part (June 9) will explore possibilities for co-designing ethical AI scenarios in care work through methods such as speculative design and design fiction. The workshop will involve short talks with a focus on data-driven perspectives in AI development, and design perspective to end-of-life care and future LLM-technologies in care work. At the end of the workshop, we aim to use design fiction and speculative design with participants to imagine desirable vs. undesirable AI scenarios in care work, with the topics such as: AI in delegation and decision making, AI in care relationships and face-to-face interaction, AI in workforce and organisational change and AI in data, ethics and governance.
June 8: Organisational ethnography in exploring AI futures in care work
Time: 10.00 – 15.00
Location: KTH Flemingsberg, Room 9504
Format: Internal workshop for CareQuAI
Aim: Presenting organisational ethnography as a method
Schedule:
10:00 CareQuAI Publication Protocol
10.15 Introducing organisational ethnography (Diane Burns)
10:45 Multi-sited ethnography in care homes (Joni Jaakola)
11.00 Comparative case study design with an organisational ethnographic approach
How to do organisational ethnography in AI/care companies? (Diane Burns)
Break (12.00 – 13.00)
13.00 Group Discussion: What are the sensitivities for doing and analysing comparative case studies?
Perspectives from other countries: How to implement WP2 in country-specific contexts – including informed consent and data collection
June 9: Co-designing ethical AI scenarios in care work
Time: 10.00 – 15.00
Location: KTH Flemingsberg, Room 9504
Format: Open workshop for CareQuAI and other researchers
Aim: Knowledge exchange on AI development in care
Schedule:
10:00 Confessions of a two healthcare data modellers
(Jayanth Raghothama and Adam Darwich)
10:40 Attunement by Design: Designing LLM-technologies in care work
(Charlotte Santhagens)
11:00 Designing and Understanding Care: Volunteers’ Engagement with Technology in End-of-Life Care (Lina Mebus)
Break (11.30 – 12.30)
12:30 Guidance and best practices for WP3: Speculative design and design fiction for future technologies (Sanna Kuoppamäki)
13:00 Group discussion: Perspectives from other countries: How to implement WP3 in country-specific contexts
13:30 Co-designing ethical AI scenarios in care work (Sanna Kuoppamäki, Lina Mebus, Negin Soltani): Using design fiction with participants to imagine desirable vs. undesirable AI scenarios in care work
15:00 Final remarks and next steps





