Self-Teaching AI: Building Resilient Coastal Defense Systems That Learn Without Losing Trust

As coastal communities face increasingly unpredictable climate events, AI systems must adapt in real-time while maintaining safety and verifiability—a challenge that existing approaches haven't solved. MOCA addresses this by combining meta-learning (teaching AI how to learn better), continual adaptation (updating without catastrophic forgetting), and cryptographic governance (ensuring every decision is auditable), enabling systems to respond faster to coastal threats while remaining transparent and tamper-proof.