02 December 2025
- RSIS
- Publication
- RSIS Publications
- Convergence of Biotechnologies and Artificial Intelligence: Implications on Biological Security
Executive Summary
The rapid convergence of artificial intelligence (AI) and biotechnology presents a profound dual-use challenge. While these advances offer transformative capabilities, they also expand the range and accessibility of tools that could be misused for hostile purposes, including the design of novel pathogens or the circumvention of existing detection systems.
Current governance frameworks for both life sciences and AI often operate in isolation, leaving critical blind spots in governance and accountability. Closing these gaps requires more coordinated action by and among stakeholders in biological sciences and AI to enhance transparency and safeguards in scientific research.
ASEAN can strengthen regional AI-biosecurity governance by leveraging existing institutional platforms, promoting self-regulation, standardising transparency principles, and building capacity across member states. A multi-stakeholder approach involving scientists, the business sector, ethicists, and civil society will be essential to building trust and mitigating AI-related biological risks.

Executive Summary
The rapid convergence of artificial intelligence (AI) and biotechnology presents a profound dual-use challenge. While these advances offer transformative capabilities, they also expand the range and accessibility of tools that could be misused for hostile purposes, including the design of novel pathogens or the circumvention of existing detection systems.
Current governance frameworks for both life sciences and AI often operate in isolation, leaving critical blind spots in governance and accountability. Closing these gaps requires more coordinated action by and among stakeholders in biological sciences and AI to enhance transparency and safeguards in scientific research.
ASEAN can strengthen regional AI-biosecurity governance by leveraging existing institutional platforms, promoting self-regulation, standardising transparency principles, and building capacity across member states. A multi-stakeholder approach involving scientists, the business sector, ethicists, and civil society will be essential to building trust and mitigating AI-related biological risks.


