Mirror to Companion: Exploring Roles, Values, and Risks of AI Self-Clones through Story Completion

要旨

Advancing technologies enable machine learning applications that replicate the appearance, behavior, and thought patterns of users based on their personal data. Termed as AI self-clones, these digital doppelgangers present introspective opportunities and existential risks, as they might amplify self-awareness or echo problematic self-views. In our participatory design fiction study, we involved 20 diverse individuals to explore the values and risks they associate with creating AI self-clones. Our participants conceptualized AI self-clones by the roles these clones could assume, such as mirror, probe, companion, delegate, and representative. The perceived values and risks tend to correspond to these roles. For example, using self-clones as representatives could enhance relationship maintenance, yet it might also lead to diminished authenticity in personal connections; utilizing self-clones as probes to explore life scenarios could aid decision-making, but it might amplify regrets about unchosen paths. This research lays the groundwork for an ethical design of AI self-clone applications.

著者
Jessica Huang
University of British Columbia, Vancouver, British Columbia, Canada
Ig-Jae Kim
Korea Institute of Science and Technology, Seoul, Korea, Republic of
Dongwook Yoon
University of British Columbia, Vancouver, British Columbia, Canada
DOI

10.1145/3706598.3713587

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713587

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Experience Together

G403
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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