Recoverability-Constrained Systems — Argentina Case Record: Non-Consensual AI-Generated Synthetic Human Representation and Admissibility Boundary (RCE-ARG-001)
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901306425212928 |
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| author | Sanchez, Noelia Sofia Interval Studio |
| author_facet | Sanchez, Noelia Sofia Interval Studio |
| contents | <p>This record presents an evidentiary analysis and court-aligned reconstruction of Argentine legal conditions applicable to non-consensual AI-generated synthetic human representation.</p> <p>It evaluates whether such systems remain admissible under conditions where:</p> <ul> <li>representations are perceptually indistinguishable from real individuals;</li> <li>exposure occurs prior to verification or correction;</li> <li>dissemination propagates beyond traceable or reversible control;</li> <li>correction cannot be guaranteed within bounded time under real conditions.</li> </ul> <p>The analysis demonstrates that once exposure occurs, synthetic representation can produce irreversible informational and reputational states. Not all instances can be identified, not all recipients can be reached, and correction mechanisms cannot fully restore the pre-exposure condition. Under these circumstances, recoverability cannot be established in time under real conditions.</p> <p>Under the Recoverability-Constrained Systems (RCS) invariant, continuation is admissible only while recoverability can be established. Where this condition fails:</p> <p>→ continuation is non-admissible<br>→ execution does not occur</p> <p>The record maps this condition to existing Argentine legal frameworks, including:</p> <ul> <li>Código Civil y Comercial (Article 53 — image and voice rights);</li> <li>Ley 25.326 (personal data protection and habeas data remedies);</li> <li>constitutional protections of privacy, identity, and dignity;</li> <li>precautionary judicial mechanisms (amparo and medidas cautelares).</li> </ul> <p>These frameworks establish consent requirements, data protection obligations, and rights to rectification, suppression, and restriction. However, where synthetic representation produces non-recoverable harm, legal remedies may exist in form but fail in execution if recovery cannot be achieved within the required time.</p> <p>Supporting evidence includes:</p> <ul> <li>Argentine legal texts and official sources;</li> <li>Argentine legal analysis recognizing deepfakes as a challenge for electronic evidence;</li> <li>international reporting and regulatory responses demonstrating systemic difficulty in controlling and reversing non-consensual synthetic media once disseminated.</li> </ul> <p>The record does not assert the existence of a specific Argentine judicial decision ordering national blocking of an AI system in this exact scenario. Instead, it establishes that, under existing legal and technical conditions, system-level restriction or suspension is the required conformance-equivalent response where recoverability cannot be established.</p> <p>The document includes:</p> <ul> <li>technical analysis of synthetic media irreversibility;</li> <li>structured legal-to-system mapping;</li> <li>risk characterization (identity, reputational, propagation, and correction failure risks);</li> <li>evidence and source record with traceable references;</li> <li>closure conditions eliminating all known forms of admissibility bypass (including scope limitation, timing ambiguity, delegation, simulation, partial compliance, and post-harm correction).</li> </ul> <p>This record forms part of the Recoverability-Constrained Systems evidentiary case series (RCE), aligned with the Master Index:</p> <p>https://doi.org/10.5281/zenodo.19583410</p> <p>It contributes a jurisdiction-specific demonstration that, where recoverability cannot be established in time under real conditions, continuation of system operation is non-admissible.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19829968 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Recoverability-Constrained Systems — Argentina Case Record: Non-Consensual AI-Generated Synthetic Human Representation and Admissibility Boundary (RCE-ARG-001) Sanchez, Noelia Sofia Interval Studio Irreversibility Recoverability admissibility failure system artificial intelligence deepfake image rights data protection amparo identity <p>This record presents an evidentiary analysis and court-aligned reconstruction of Argentine legal conditions applicable to non-consensual AI-generated synthetic human representation.</p> <p>It evaluates whether such systems remain admissible under conditions where:</p> <ul> <li>representations are perceptually indistinguishable from real individuals;</li> <li>exposure occurs prior to verification or correction;</li> <li>dissemination propagates beyond traceable or reversible control;</li> <li>correction cannot be guaranteed within bounded time under real conditions.</li> </ul> <p>The analysis demonstrates that once exposure occurs, synthetic representation can produce irreversible informational and reputational states. Not all instances can be identified, not all recipients can be reached, and correction mechanisms cannot fully restore the pre-exposure condition. Under these circumstances, recoverability cannot be established in time under real conditions.</p> <p>Under the Recoverability-Constrained Systems (RCS) invariant, continuation is admissible only while recoverability can be established. Where this condition fails:</p> <p>→ continuation is non-admissible<br>→ execution does not occur</p> <p>The record maps this condition to existing Argentine legal frameworks, including:</p> <ul> <li>Código Civil y Comercial (Article 53 — image and voice rights);</li> <li>Ley 25.326 (personal data protection and habeas data remedies);</li> <li>constitutional protections of privacy, identity, and dignity;</li> <li>precautionary judicial mechanisms (amparo and medidas cautelares).</li> </ul> <p>These frameworks establish consent requirements, data protection obligations, and rights to rectification, suppression, and restriction. However, where synthetic representation produces non-recoverable harm, legal remedies may exist in form but fail in execution if recovery cannot be achieved within the required time.</p> <p>Supporting evidence includes:</p> <ul> <li>Argentine legal texts and official sources;</li> <li>Argentine legal analysis recognizing deepfakes as a challenge for electronic evidence;</li> <li>international reporting and regulatory responses demonstrating systemic difficulty in controlling and reversing non-consensual synthetic media once disseminated.</li> </ul> <p>The record does not assert the existence of a specific Argentine judicial decision ordering national blocking of an AI system in this exact scenario. Instead, it establishes that, under existing legal and technical conditions, system-level restriction or suspension is the required conformance-equivalent response where recoverability cannot be established.</p> <p>The document includes:</p> <ul> <li>technical analysis of synthetic media irreversibility;</li> <li>structured legal-to-system mapping;</li> <li>risk characterization (identity, reputational, propagation, and correction failure risks);</li> <li>evidence and source record with traceable references;</li> <li>closure conditions eliminating all known forms of admissibility bypass (including scope limitation, timing ambiguity, delegation, simulation, partial compliance, and post-harm correction).</li> </ul> <p>This record forms part of the Recoverability-Constrained Systems evidentiary case series (RCE), aligned with the Master Index:</p> <p>https://doi.org/10.5281/zenodo.19583410</p> <p>It contributes a jurisdiction-specific demonstration that, where recoverability cannot be established in time under real conditions, continuation of system operation is non-admissible.</p> |
| title | Recoverability-Constrained Systems — Argentina Case Record: Non-Consensual AI-Generated Synthetic Human Representation and Admissibility Boundary (RCE-ARG-001) |
| topic | Irreversibility Recoverability admissibility failure system artificial intelligence deepfake image rights data protection amparo identity |
| url | https://doi.org/10.5281/zenodo.19829968 |