Technology and Dementia Preconference

Area of Science:

• Geriatrics
• Artificial Intelligence Ethics
• Social Robotics

Background:

• Digitization necessitates technology engagement for health, care access, and social participation.
• AI AgeTech (smart homes, robots, wheelchairs) supports persons with dementia and care partners.
• Existing AI ethics discussions address individual and societal issues, but not the relational dynamics of dementia care.

Purpose of the Study:

• To explore how AI AgeTech shapes and is shaped by evolving dementia care ecosystems.
• To develop a guiding model for designing AI AgeTech for dementia care.

Main Methods:

• Co-creation workshops with diverse stakeholders (researchers, persons with dementia, care partners, entrepreneurs).
• Utilized visual experience probes (personas, care maps, scenarios, videos) to stimulate discussion.
• Synthesized a preliminary guiding model for AI AgeTech innovation.

Main Results:

• A humanistic, relational model for designing AI AgeTech was developed.
• AI AgeTech are viewed as semi-autonomous care actors, not just tools.
• These systems are likely to reshape care relationships and practices within dementia care ecosystems.

Conclusions:

• Designing AI for dementia care necessitates a humanistic, relational understanding beyond current AI ethics.
• The developed model offers actionable guidance for innovators.
• This approach is crucial for enhancing dementia care in an AI-influenced future.