AI's Growing Role in Biological and Nuclear Risk: Why Governance Frameworks Must Evolve
The rapid advancement of artificial intelligence technologies is creating new dimensions of risk in both biological and nuclear domains, prompting experts to call for corresponding updates to global governance structures.
The James Martin Center for Nonproliferation Studies has released an analysis highlighting the dual-use nature of AI in these sensitive areas. In the biological sphere, AI tools are accelerating drug discovery and vaccine development, but the same capabilities can potentially be misused to design harmful biological agents or lower barriers to bioterrorism. Similarly, in the nuclear sector, AI applications in monitoring and verification offer promise for nonproliferation efforts, while simultaneously presenting new risks if adversaries exploit AI systems for weapons development or to undermine existing arms control agreements.
The analysis emphasizes that existing governance mechanisms—which were largely designed before the current wave of AI capabilities emerged—may be inadequate to address the speed, scale, and complexity of risks introduced by these technologies. Key concerns include the difficulty of attributing AI-generated threats, the democratization of powerful AI tools beyond state actors, and the challenges of verifying compliance in an AI-enhanced environment.
Experts suggest that effective governance responses will require multi-stakeholder collaboration, incorporating insights from technologists, policymakers, security specialists, and the scientific community. Potential approaches include developing AI-specific arms control frameworks, enhancing transparency measures, and investing in verification technologies that can operate effectively alongside AI systems.