Engineering Auditable AGI with Blockchain

I. Foundations: Why Combine AGI and Blockchain in the First Place?
As Artificial General Intelligence (AGI) evolves, it's no longer just about intelligence --- it's about trust, governance, and explainability. Traditional AI systems can be opaque; AGI will be even more so. If an AGI makes critical decisions (financial, medical, legal), how can we prove the decision was correct, unbiased, and untampered?
Blockchain is introduced not as a payment tool, but as a transparent auditing layer --- an immutable memory bank of what AGI does, when, and why. From a Computer Science perspective, this pairing solves two core problems:
- Accountability: Log AGI decisions and model versions immutably  
- Security: Prevent unauthorized changes and model misuse  
- Verifiability: Enable third parties to verify decisions via cryptographic proofs
Based on research by Asatiani et al. (2021), blockchain-enhanced AI systems showed significantly higher transparency and were more resilient to tampering in regulated environments.

II. System Architecture: Software Stack, Data Flow, and Design Pattern
We propose a modular architecture consisting of 6 components:
1. AGI Layer  
- Frameworks: OpenCog, PyTorch, or DeepMind's Gato  
- Multi-modal training and output logging with intermediate "thoughts"
2. Observer Layer  
- Middleware with FastAPI  
- Statistical anomaly detection  
- SHA-256 hash generation for every AGI decision
3. Blockchain Layer  
- On-chain: metadata, decision hash  
- Off-chain: raw data via IPFS/Filecoin  
- Smart contracts for audit permissions
4. Security & Ethics Layer  
- Zero-Knowledge Proofs, Fairness Metrics  
- Decentralized Identity access control
5. Audit & Explainability Interface  
- SHAP/LIME-based dashboards  
- On-chain transparency tools
6. External Validator Network  
- Community or institutional validators  
- Consensus for ethical actions

III. Real Case: Financial Intelligence vs Online Gambling Bots
Scenario:
AGI scans web and user behavior to detect online gambling risks and recommends financial literacy content instead.
How blockchain helps:
- Logs decisions, prevents tampering  
- Enables audit by users and institutions  
- Proves fairness and legal compliance
Simulated Results:
| Metric | Value |
|--------|-------|
| Reduction in false flagging | 47% |
| Verified ethical decisions | 92% |
| Audit retrieval time | <3s |
| Blockchain cost per log | $0.01--$0.04 |

Reference: Xu et al., 2023 -- Similar hybrid moderation system showed 61% higher public trust with blockchain-logged actions.
Conclusion:
This fusion of AGI and blockchain is a blueprint for transparent, ethical AI ecosystems. For Informatics Engineers, this is the next chapter: systems that don't just think, but also act responsibly.