Closed-Loop Deterministic Correction of AI Behavioral Drift: Evidence for Architectural Irreversibility
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2025
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| _version_ | 1866901064250294272 |
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| author | CIJ Labs |
| author_facet | CIJ Labs |
| contents | A closed-loop system that detects and attempts to correct behavioral drift through a three-level escalation protocol. Across two benchmarks (160 calibrated observations and 157 production calls), 63% of detected drift was classified as UNCORRECTABLE. Claude models show 5-15% correctability vs GPT-instant at 20%, revealing architectural irreversibility. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19040358 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Closed-Loop Deterministic Correction of AI Behavioral Drift: Evidence for Architectural Irreversibility CIJ Labs closed-loop correction architectural irreversibility correctability AI safety ABIS behavioral drift A closed-loop system that detects and attempts to correct behavioral drift through a three-level escalation protocol. Across two benchmarks (160 calibrated observations and 157 production calls), 63% of detected drift was classified as UNCORRECTABLE. Claude models show 5-15% correctability vs GPT-instant at 20%, revealing architectural irreversibility. |
| title | Closed-Loop Deterministic Correction of AI Behavioral Drift: Evidence for Architectural Irreversibility |
| topic | closed-loop correction architectural irreversibility correctability AI safety ABIS behavioral drift |
| url | https://doi.org/10.5281/zenodo.19040358 |