Who Owns My AI Twin? Data Ownership in a New World of Simulated Identities
Paulius Jurcys, Ashley Greenwald, Mark Fenwick, Valto Loikkanen, Sebastian Porsdam Mann, and Brian D. Earp

TL;DR
This paper explores the legal and ethical implications of AI twins, advocating for recognizing individuals as owners of their digital replicas and proposing a human-centric data governance model.
Contribution
It introduces a new legal and ethical framework emphasizing personal ownership and autonomy over AI twins, challenging existing platform-centric data governance models.
Findings
Natural persons should be recognized as owners of their AI twins
Current legal frameworks are inadequate for AI-driven identities
A human-centric data governance model is proposed
Abstract
The emergence of AI twins, digital replicas that encapsulate an individual's knowledge, memories, psychological traits, and behavioral patterns, raises novel legal and ethical challenges for data governance and personal identity. Built from personal data, these systems require a rethinking of what it means to exercise dominion over one's data and to maintain personal autonomy in an AI-mediated environment. This article argues that natural persons should be recognized as the moral and legal owners of their AI twins, which function as intimate extensions of the self rather than as proprietary technological artifacts. It critiques prevailing legal frameworks that prioritize technological infrastructure and platform control over data and individual autonomy, exposing their structural limitations. In response, the article advances a human-centric model of data governance grounded in…
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Taxonomy
TopicsEthics and Social Impacts of AI · Interdisciplinary Studies: Technology, Society, and Humanities · Neuroethics, Human Enhancement, Biomedical Innovations
