MAVS-GC: A Governance Architecture for AI Systems

🛡 MAVS-GC: A New AI Governance Architecture

MAVS-GC (Multi Adaptive Vetting Systems-Governance Core) has been introduced—an open-source solution that separates expert model predictions from the final decision-making layer. Under high data corruption (level ≥ 0.6), the system demonstrated an accuracy of 85.30% compared to 43.24% for standard ensembles.

🌍 The transition to formalized governance layers allows for the creation of robust systems capable of "failing safely" during attacks or data degradation.

👤 This is a step toward predictable AI, where system behavior can be audited and controlled without retraining every individual model.

Source 1: https://docs.google.com/document/d/1h7qpDgLv2PyIB6ZlLED5qGDeUbnNbITzNEspmsxA7ZE/edit?usp=sharing Source 2: https://github.com/orgs/MAVS-RESEARCH/repositories