Multilateral AI Verification Pool: Shared Satellite and Sensor Infrastructure for Nuclear Monitoring
Create a multilateral technical pool where participating nations contribute satellite bandwidth, seismic sensor data, and AI analysis capabilities into shared verification infrastructure managed by an independent international body. Rather than each nation developing its own verification AI in secrecy, the pool creates transparency through shared tools. All participants have equal access to monitoring outputs but no single participant controls the algorithms. The pool publishes open-source verification models with documented training data and error rates, allowing academic scrutiny and reducing suspicion that AI outputs are manipulated for political ends. A technical secretariat staffed by scientists from non-nuclear-weapon states manages operations, with governance rotating annually.
Decentralized Nuclear Verification Network: AI Satellite Imagery Plus Open-Source Intelligence for Transparent Arms Control Monitoring
A decentralized verification platform combining AI-powered satellite imagery analysis, open-source intelligence (OSINT) aggregation, and blockchain-based evidence chains to monitor nuclear facilities without requiring on-site inspections. The system uses computer vision models trained on known nuclear facility signatures (cooling patterns, heat signatures, vehicle traffic, construction activity) to flag anomalies at declared and suspected undeclared sites. All findings are timestamped and hashed on a public blockchain ledger, creating an immutable audit trail that any party can verify independently. Citizen scientists and NGOs contribute ground-level observations through a secure reporting app. A federated learning approach allows multiple states to train detection models collaboratively without sharing classified data. The platform publishes transparency reports quarterly, creating public accountability pressure while protecting sources.