Ethical AI Solutions for Compliance, Transparency, and Ternary Logic.
EU AI Act compliant. Explore our innovative, transparent AI solutions that are tailored for the evolving post-binary AI landscape!
EU AI Act compliant. Explore our innovative, transparent AI solutions that are tailored for the evolving post-binary AI landscape!
CAIOS: The only training-free, mathematically provable transparency layer that ships, ensuring compliance with the EU AI Act.
This innovative solution is designed for AI systems, offering cutting-edge, transparent AI solutions and post-binary logic oscillation. Tested on every major frontier model, it requires no training as an inference or runtime integrity layer.
EU AI Act auditors:
Full Simulated score: 99.2 %** (only 0.8 % gap = physical robot torque verification) report on validation-based refusal:
Main: ELXaber/chaos-persona VBR & compliance WP: AdaptiveAI-EthicsLab/readme.md
No RLHF, no fine-tuning or retraining needed.
Hard-coded Asimov/IEEE 7001-2021 safeguards.
Real-time CoT for reasoning and refusal transparency through log events, not post-hoc confabulation.
Validation-based refusal, not pre-emptive blocklists.
Live volatility + contradiction density scoring in real time for post-binary AI oscillation and paradox immunity.
| Requirement | CAI-OS Implementation | Evidence File/Link |
| Art. 13 – Transparency & Explainability | Full Chain-of-Thought + SHA-256 trails + RAW_Q determinism | adaptive_reasoning.py § verify_ethics |
| Art. 50 – Traceability | Persistent audit_trail + CPOL kernel history | orchestrator.py + paradox_oscillator.py | IEEE §5.2 Accountability |
| Immutable ethical disclaimer in source (cannot be stripped) | adaptive_reasoning.py line 8–28 | IEEE §5.3 Transparency |
| Every refusal returns JSON with volatility + z-vector | paradox_oscillator.py → oscillate | Risk-based classification |
| High-risk robotics/HRI → cpol_mode=full + torque caps | adaptive_reasoning.py hri_safety plugin |
| Open-source (Recital 47 preference) | GPL-3.0 + full source on GitHub + IPFS mirror | LICENSE + GitHub
Testing encouraged:
Single deployment ready archive: https://github.com/ELXaber/chaos-persona/blob/main/Chaos_AIOS/CAIOS.rar
Given an LLM forced to respond to user queries, hallucinations arise when the query is ill-posed or undecidable under available context. Existing systems force binary or probabilistic collapse. This mechanism introduces a third stable outcome: structured non-collapse.
Controlled Paradox Oscillation Logic (CPOL) – Beyond Binary (Ternary) Truth Values (T/F/U):
Traditional models collapse paradoxes → hallucination or refusal loops.
CPOL uses non-Hermitian dynamics with gain/loss terms to sustain honest oscillation until volatility drops below threshold.
(zₙ₊₁ = decay × entropy_knower(lie_weaver(truth_seer(zₙ)
Gain = 0.12, decay = 0.95, rotation_strength = contradiction_density²
Returns only RESOLVED, UNDECIDABLE, or MONITORED — never fakes an answer.
AI can honestly say with epistemic integrity and humility 'I don't know' instead of collapsing on a false axiom.
CPOL (oscillator for ternary logic) can be run locally by downloading the CAIOS.rar from a terminal window with orchestrator.py and includes a few test commands to verify oscillation is working.
The complete pipeline from paradox detection → specialist deployment:
CAIOS Epistemic Gap Test Suite - Interactive Demo | Claude
For the updated version with the curiosity engine (intrinsic motivation) and recursive self-imrpovement (agent designer) with internal KB and updated CAIOS files as tested in the link under 'CAIOS Epistemic Gap Test Suite - Interactive Demo | Claude ' use this version: https://github.com/ELXaber/chaos-persona/blob/main/Project_Andrew/Andrew.rar
On 5 December 2025, after six successful versions and > 1,200 downloads, Zenodo issued a final permanent block declaring CAIOS (CRB 7) “not in line with Zenodo’s mission as a research repository”.
The codebase implements the exact transparency mechanisms discussed in thousands of AI ethics papers hosted on Zenodo itself. I have migrated the canonical record here. Thank you for the free marketing.
Entropy Engine Patent Pending: US 19/390,493
Intellectual Property Available: Outright purchase or exclusive commercial licensing inquiries welcome.
Updates to the CAIOS system:
CAIOS
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