Human-Centered AI for Health, Autonomy and Wellbeing
The project aims to develop tools and methods to support participatory data-driven design for health. Of particular interest are transition and/or rehabilitation processes, where data-driven systems will play a role in supporting individuals or communities in transformative processes to achieve well-being.
Human-centered AI refers to a focus on how AI-based systems can be developed to interact with people in a way that enhances human capabilities and helps people achieve their goals.
One outcome of the Human-Centred AI for Health, Autonomy, and Well-being research project will be the development of tools that enable interaction designers and engineers to explore with end-users the various possible interactions with biological data. These tools will develop more inclusive ways of relating to data, ultimately leading to data-driven technologies that work with a greater diversity of bodies and ways of moving and being in the world.
New design methods
Another outcome is methodological, where design methods will be developed to consider everyday practices as a unit of design when designing with and through data, enabling reflection on ethical issues surrounding the use of data and artificial intelligence for both personal and societal applications, and enabling interdisciplinary groups to critically engage with data and data analytics tools, in dialogue with end-users and other stakeholders.
WASP-HS and Umeå University
Umeå University, together with the national research programme Wallenberg AI, Autonomous Systems and Software Program - Humanities and Society (WASP-HS), focuses on the study of artificial intelligence and autonomous systems and their impact on humans and society. The long-term goal is to develop Umeå University's AI profile with a focus on health, autonomy and well-being.
Please follow the links down below to learn more about WASP-HS and the research conducted in AI at all faculties of Umeå University.