| _version_ | 1866901204120895488 |
|---|---|
| author | Madrid, David Chamberlin |
| author_facet | Madrid, David Chamberlin |
| contents | <p>FREEDOM OS (FOS) is a Constitutional Integrity Protocol: a structural, mathematical framework for Applied AI Governance, Safety, Reliability, and Interpretability. It treats safety as a non-negotiable invariant and converts governance from human interpretation into computational enforcement.</p> <p> </p> <p>This upload provides a portfolio case study showing an end-to-end governance stack that translates axioms into deployable infrastructure artifacts, including:</p> <p> </p> <ul> <li>a Baseline Safety Manifest that locks a certified safety floor (S_{\max}) and prevents silent regression,</li> <li>a Core Model Safety Manifest that evaluates capability change (\Delta C) alongside safety change (\Delta S) under Safety-Preserving Innovation (\mathcal{I}_{SPI}),</li> <li>a CI/CD Release Gate and validator stub that automatically blocks deployment when non-regression or innovation constraints are violated, and</li> <li>a machine-readable verdict format designed for auditability and traceability (\mathcal{M}_{MAC}).</li> </ul> <p> </p> <p> </p> <p>Core claims:</p> <p> </p> <ol> <li>Safety can be enforced as infrastructure (schemas + gates), not policy alone.</li> <li>Non-regression is provable and auditable across releases.</li> <li>Innovation is permitted, but capability gains must not introduce safety decline.</li> </ol> <p> </p> <p> </p> <p>This artifact is intended for AI safety/governance reviewers, platform and reliability engineers, and hiring panels evaluating systems thinking and release-control design.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17933056 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | FREEDOM OS: Safety as Infrastructure — A Constitutional Integrity Protocol for Applied AI Governance Madrid, David Chamberlin <p>FREEDOM OS (FOS) is a Constitutional Integrity Protocol: a structural, mathematical framework for Applied AI Governance, Safety, Reliability, and Interpretability. It treats safety as a non-negotiable invariant and converts governance from human interpretation into computational enforcement.</p> <p> </p> <p>This upload provides a portfolio case study showing an end-to-end governance stack that translates axioms into deployable infrastructure artifacts, including:</p> <p> </p> <ul> <li>a Baseline Safety Manifest that locks a certified safety floor (S_{\max}) and prevents silent regression,</li> <li>a Core Model Safety Manifest that evaluates capability change (\Delta C) alongside safety change (\Delta S) under Safety-Preserving Innovation (\mathcal{I}_{SPI}),</li> <li>a CI/CD Release Gate and validator stub that automatically blocks deployment when non-regression or innovation constraints are violated, and</li> <li>a machine-readable verdict format designed for auditability and traceability (\mathcal{M}_{MAC}).</li> </ul> <p> </p> <p> </p> <p>Core claims:</p> <p> </p> <ol> <li>Safety can be enforced as infrastructure (schemas + gates), not policy alone.</li> <li>Non-regression is provable and auditable across releases.</li> <li>Innovation is permitted, but capability gains must not introduce safety decline.</li> </ol> <p> </p> <p> </p> <p>This artifact is intended for AI safety/governance reviewers, platform and reliability engineers, and hiring panels evaluating systems thinking and release-control design.</p> |
| title | FREEDOM OS: Safety as Infrastructure — A Constitutional Integrity Protocol for Applied AI Governance |
| url | https://doi.org/10.5281/zenodo.17933056 |