Revolutionizing AI Safety: A State-Machine Approach to Decision Auditing
safety#llm📝 Blog|Analyzed: Mar 10, 2026 10:32•
Published: Mar 10, 2026 10:06
•1 min read
•r/MachineLearningAnalysis
This project introduces Rebis, an innovative open-source architecture for auditing AI decisions. Instead of just moderating outputs, Rebis governs the decision-making process itself, offering a novel approach to AI safety. This staged state-machine design promises greater transparency and control over AI systems.
Key Takeaways
- •Rebis uses a staged state-machine architecture for auditing AI decisions.
- •It governs the decision process, not just inputs or outputs.
- •The system includes features like classification, audit triggers, and role-based approvals.
Reference / Citation
View Original"I built an open-source prototype called Rebis: https://github.com/Nefza99/Rebis-AI-auditing-Architecture"