| _version_ | 1866902233758564352 |
|---|---|
| author | Saurabh, Roy |
| author_facet | Saurabh, Roy |
| contents | Computational companion to a manuscript on context-conditioned evidence sufficiency in AI governance auditing. Implements the Provena epistemic-ceiling framework in Python and validates it through five computational studies on synthetic audit profiles under two data generators (uniform and context-correlated). Includes all 9 auditing baselines, deterministic seeds, and a generated results audit report. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20376680 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Provena: Reproducibility Package for Evidence-Laundering Stress Tests in AI Governance Audits Saurabh, Roy AI governance audit reproducibility evidence sufficiency epistemic ceiling fairness accountability transparency responsible AI algorithmic auditing AI compliance Computational companion to a manuscript on context-conditioned evidence sufficiency in AI governance auditing. Implements the Provena epistemic-ceiling framework in Python and validates it through five computational studies on synthetic audit profiles under two data generators (uniform and context-correlated). Includes all 9 auditing baselines, deterministic seeds, and a generated results audit report. |
| title | Provena: Reproducibility Package for Evidence-Laundering Stress Tests in AI Governance Audits |
| topic | AI governance audit reproducibility evidence sufficiency epistemic ceiling fairness accountability transparency responsible AI algorithmic auditing AI compliance |
| url | https://doi.org/10.5281/zenodo.20376680 |