Executive Summary
This paper explores how emerging technologies like Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) can strengthen the biological weapons prohibition regime. It details use cases for these technologies in three key areas: production and laboratory oversight, export controls on dual-use items, and reporting/transparency mechanisms. The analysis also covers cross-cutting considerations such as data integrity, human oversight, and equitable access, concluding with recommendations for states parties to the Biological Weapons Convention (BWC).
Why It Matters
This document is crucial for defense and geopolitical analysts as it outlines how emerging technologies like AI and DLT can be leveraged to prevent biological weapons proliferation, directly impacting global security and arms control efforts.
Key Takeaways
- AI and DLT can significantly strengthen biological weapons prohibition by improving laboratory oversight, export controls, and reporting mechanisms.
- Responsible and equitable adoption of these technologies requires addressing data integrity, human oversight, interoperability, and capacity building.
- States parties should create structured spaces for innovation within the BWC and leverage cooperation channels to support standard-setting and equitable distribution.
- The BWC is complemented by other instruments like UNSCR 1540 and the Australia Group, which reinforce non-proliferation obligations.
Strategic Relevance
The strategic relevance lies in enhancing the effectiveness of the biological weapons prohibition regime through technological innovation, thereby mitigating a significant global security threat. It provides a roadmap for integrating advanced technologies into arms control, impacting national security and international stability.