AI-driven genome design exposes gaps in global biosecurity governance and dual-use research oversight
Original framing: “Large genome models used to design new viruses” — Ars Technica
Large genome models, such as transformer‑based architectures, can predict viral capsid structures with high accuracy, accelerating both vaccine design and potential misuse. Scientific literature documents both the promise and the perils, emphasizing the need for transparent validation pipelines and reproducibility standards.
The surge of AI‑driven genome design is not merely a technological curiosity but a symptom of fragmented biosecurity governance, profit‑driven research incentives, and historic patterns of dual‑use exploitation.
By weaving Indigenous stewardship, historical lessons from Cold War bioweapon programs, and cross‑cultural ethical frameworks into a revised global treaty, we can align scientific capability with collective responsibility. Empowering community‑based biosecurity hubs and embedding dual‑use ethics into AI education create feedback loops that democratize oversight. Equitable funding that supports defensive research in the Global South counters the concentration of power and reduces incentives for clandestine weaponisation. Together, these pathways reconfigure the power‑knowledge matrix, turning a potential crisis into an opportunity for resilient, inclusive governance.