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Accepted Paper
Paper short abstract
AI for ageing in place risks reinforcing ageism when older adults are not involved in design. This research explores how older adults envision AI in their future care and lives. Through co-creation, it examines explainability, daily practices, and inclusion of older adults in responsible AI design.
Paper long abstract
Artificial Intelligence (AI) can support personalized care and ageing in place. However, knowledge about users and their practices is necessary to reach responsible care embedding. Designers and researchers often exclude older adults from the design processes, resulting in ageist systems less suitable to the needed care and practices of older adults. Design processes can benefit from involving older adults to overcome ageism and possible biases incorporated into AI systems. In my previous work I explore the necessities and notions regarding explainable AI (XAI). What is explainability in the context of care and lives of older adults? It is not a simple topic, and needed levels of explainability differ for individuals and in different care contexts, it varies from knowing the algorithm towards practical knowledge. My research shows how care providers argue that explainability is probably not needed, and how older adults value XAI. To further explore how older adults understand and envision (X)AI in care and daily practices, and contribute to inclusive design of (X)AI, I applied co-creation. Co-creation can provide an environment for open collaboration and generation of new perspectives from actual end-users. I apply this approach to explore how older adults envision AI and XAI. “Where do you visualize and position AI in your life and care while ageing in our digital society?” This question is leading during a creative session in which the older adults learn about AI, co-create personal scenarios, and discuss about AI in their future lives, including care and daily practices.
Speculating caring futures: Design-based methods for re-imagining care
Session 2