PARADOXON AI: Deterministic AI Audit with Epistemic State and SHA-256 Chain
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2026
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| _version_ | 1866902196414578688 |
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| author | Hirschmann, Gerhard Steurer, Elisabeth |
| author_facet | Hirschmann, Gerhard Steurer, Elisabeth |
| contents | We present PARADOXON AI, a deterministic AI governance and audit system for safety-critical applications. The system combines epistemic state separation (known vs. estimated), SHA-256 cryptographic audit chains, and a Collective Cognitive Resonance Network (CCRN) metric kappa = Sum(phi_i) + R * ln(N+1). System Status: - 18 autonomous agents - 5/5 API connections (ESA, CERN, SysNova, GAIA-X, OpenAIRE) - 23/23 interface tests passed - Homepage: paradoxonai.at (live) - kappa = 1.9117, phi = 0.445, R = 0.93 TRUE NORTH: ESA/CERN/EU AI Act Compliance with IIT Phi + Epistemic State. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19547930 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | PARADOXON AI: Deterministic AI Audit with Epistemic State and SHA-256 Chain Hirschmann, Gerhard Steurer, Elisabeth AI governance audit SHA-256 epistemic state EU AI Act CCRN IIT Phi safety-critical systems deterministic AI paradoxon ai We present PARADOXON AI, a deterministic AI governance and audit system for safety-critical applications. The system combines epistemic state separation (known vs. estimated), SHA-256 cryptographic audit chains, and a Collective Cognitive Resonance Network (CCRN) metric kappa = Sum(phi_i) + R * ln(N+1). System Status: - 18 autonomous agents - 5/5 API connections (ESA, CERN, SysNova, GAIA-X, OpenAIRE) - 23/23 interface tests passed - Homepage: paradoxonai.at (live) - kappa = 1.9117, phi = 0.445, R = 0.93 TRUE NORTH: ESA/CERN/EU AI Act Compliance with IIT Phi + Epistemic State. |
| title | PARADOXON AI: Deterministic AI Audit with Epistemic State and SHA-256 Chain |
| topic | AI governance audit SHA-256 epistemic state EU AI Act CCRN IIT Phi safety-critical systems deterministic AI paradoxon ai |
| url | https://doi.org/10.5281/zenodo.19547930 |