Resource type
Authors/Contributors
Abstract
Introspection is the practice of looking inward and examining our ideas, thoughts, and feelings. It involves considering past experiences and asking questions about the future. We report on a design research inquiry that explores Artificial Intelligence (AI), combined with personal data, as a resource for introspection. We investigate how AI might offer possibilities for generating alternative perspectives on one's life to support introspection and paradoxes that this might raise. We describe our design-led inquiry, motivate fi approaches to introspective practice as opportunities for potential Introspective AI interventions, and explore them through seven design proposals. Taken together, our proposals provoke questions around how introspective AI might be critiqued, imagined, and designed. We conclude with a reflection on our work and the opportunities it suggests for future research and practice.
Document
Identifier
DOI: 10.1145/3461778.3462000
Publication details
Publication title
DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference
Document title
A Design Inquiry into Introspective AI: Surfacing Opportunities, Issues, and Paradoxes
Publisher
ACM
Date
2021
First page
1603
Last page
1618
Publisher DOI
10.1145/3461778.3462000
Published article URL
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Funder
Member of collection
Download file | Size |
---|---|
IntrospectiveAI_DIS2021.pdf | 9.65 MB |