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. This thesis reports on a design research inquiry that explores Artificial Intelligence (AI), combined with personal data, as a resource for introspection. This work investigates how AI might offer possibilities for generating alternative perspectives on one's life to support introspection and paradoxes that this might raise. I describe my design-led inquiry, motivate five approaches to introspective practice as opportunities for potential Introspective AI interventions, and explore them through seven design proposals. Taken together, these proposals provoke questions around how introspective AI might be critiqued, imagined, and designed. The thesis concludes with a reflection on my work and the opportunities it suggests for future research and practice.
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Thesis advisor: Odom, William
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