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Technology and Dementia Preconference.

Amy Hwang1, Thomas Tannou2, Jarshini Nanthakumar3

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This summary is machine-generated.

Artificial intelligence in aging and dementia care (AI AgeTech) requires a humanistic approach. This technology involves semi-autonomous actors that reshape care relationships and practices within dementia care ecosystems.

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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.