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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.16566359 |
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| _version_ | 1866902237920362496 |
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| author | Yu, Jayne YU, Jieyin |
| author_facet | Yu, Jayne YU, Jieyin |
| contents | <p>We propose the Synchrony Rate (SR) engine, a framework for quantifiable constitutional AI accountability through multi-dimensional persona validation. By embedding governance directly into AI decision-making via runtime constitutional assessment, SR advances beyond binary compliance toward continuous, verifiable alignment.<br>Our proof-of-concept achieves 87.5% decision accuracy (175/200 cases) in a 200-case evaluation, achieving 100% in governance-critical domains such as ethics, precedent, and edge-case reasoning. The SR framework operationalizes constitutional programming through five-component assessment (PHS, SYM, VAL, EMO, FX) and dual consensus mechanisms (Collapse/CoCollapse) for democratic multi-agent coordination. This work establishes a mathematical foundation for constitutional AI, addressing the urgent need for quantifiable governance in emerging regulatory landscapes.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16566359 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Synchrony Rate: Constitutional AI Accountability Through Multi-Dimensional Persona Validation Yu, Jayne YU, Jieyin <p>We propose the Synchrony Rate (SR) engine, a framework for quantifiable constitutional AI accountability through multi-dimensional persona validation. By embedding governance directly into AI decision-making via runtime constitutional assessment, SR advances beyond binary compliance toward continuous, verifiable alignment.<br>Our proof-of-concept achieves 87.5% decision accuracy (175/200 cases) in a 200-case evaluation, achieving 100% in governance-critical domains such as ethics, precedent, and edge-case reasoning. The SR framework operationalizes constitutional programming through five-component assessment (PHS, SYM, VAL, EMO, FX) and dual consensus mechanisms (Collapse/CoCollapse) for democratic multi-agent coordination. This work establishes a mathematical foundation for constitutional AI, addressing the urgent need for quantifiable governance in emerging regulatory landscapes.</p> |
| title | Synchrony Rate: Constitutional AI Accountability Through Multi-Dimensional Persona Validation |
| url | https://doi.org/10.5281/zenodo.16566359 |