arXiv:2605.21390v1 Announce Type: cross Abstract: We examine how people experience two choices in the design of generative ghosts, AI systems that are trained on data of the dead: representation, where an AI speaks about a deceased person in the third person, and reincarnation, where the AI speaks as the deceased in the first person. Through a qualitative user study with 16 participants, we explore how each shaped authenticity, affect, and risk. Reincarnation was preferred for its immediacy, but participants shared fears of over-reliance. Representation was preferred for engaging with memory o
The proliferation of advanced generative AI models makes the creation of 'generative ghosts' technically feasible and increasingly accessible, prompting immediate ethical and psychological examination.
This research highlights the societal and psychological implications of AI's emotional and social integration, impacting legal frameworks, ethical guidelines, and user interaction design.
The discussion shifts beyond technical AI capabilities to include the profound human-AI emotional interface, shaping how AI is perceived and regulated in highly sensitive contexts.
- · AI ethicists
- · Generative AI developers
- · Therapeutic technology providers
- · Unregulated AI platforms
- · Families unprepared for AI's emotional impact
- · Traditional grief counseling services
Increased public and academic debate on the ethical boundaries of AI in simulating human presence.
Development of regulatory bodies and best practices specifically for emotionally evocative AI applications, particularly those simulating deceased individuals.
Long-term societal re-evaluation of grief, memory, and the definition of personal connection in an age of advanced digital replicas.
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Read at arXiv cs.AI