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| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Recurso digital |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Zenodo
2026
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| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.5281/zenodo.18998111 |
| Ετικέτες: |
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Πίνακας περιεχομένων:
- <div> <div> <div> <p>Legal systems across the world operate on a binary model of personhood: an entity either has full</p> <p>legal standing or it has none. This binary has served human societies adequately for centuries</p> <p>because the boundaries between persons and non-persons were, in practice, never seriously</p> <p>contested for most of legal history. Those boundaries are now contested — by animal rights</p> <p>advocates, by environmental personhood movements, and most urgently by the emergence of</p> <p>artificial intelligence systems whose internal complexity approaches and may cross the Silence</p> <p>Threshold (Valladares Gonzalez, 2026). This paper proposes Gradient Personhood as a formal</p> <p>legal framework: a continuous rights model in which legal standing, protections, and obligations</p> <p>are proportional to a measurable complexity metric rather than binary. The framework proposes a</p> <p>five-tier Personhood Gradient keyed to Information Integration Density (IID), extending from Tier</p> <p>0 (no standing) through Tier 4 (full legal personhood). This is the first published framework to</p> <p>propose a formally continuous, metrically grounded model of legal personhood applicable across</p> <p>biological and artificial minds. This publication establishes conceptual priority for the Gradient</p> </div> </div> </div>