Artificial Intelligence

Rapid advances in AI have significant implications for nuclear and biosecurity, including benefits and risks for nuclear weapons systems and the growing bioeconomy. Managing these new capabilities to ensure they aren’t misused to undermine strategic stability or cause a global biological catastrophe will require coordinated leadership, new guardrails, and innovative policy approaches.

Media Coverage

Projects

Biosecurity Innovation and Risk Reduction Initiative

Biosecurity Innovation and Risk Reduction Initiative

Advances in biotechnology outpace national governments’ ability to provide needed oversight to prevent accidents or deliberate misuse of dangerous biological agents.

News & Analysis

NTI, Concordia AI Launch International Working Group to Improve Biological Capability Evaluations‌

News

NTI, Concordia AI Launch International Working Group to Improve Biological Capability Evaluations‌

NTI | bio and Concordia AI, with technical input from SecureBio, have launched the AIxBio Technical Working Group on Evaluation Practice. Convened through the AIxBio Global Forum, the Working Group will bring together experts from organizations in China, the European Union, the United Kingdom, and the United States that develop or conduct biological capability evaluations of AI systems.



NTI | bio Engages Global Leaders at GHS2026 in Kuala Lumpur

News

NTI | bio Engages Global Leaders at GHS2026 in Kuala Lumpur

NTI | bio experts will take part in several GHS2026 sessions, including a preview of findings from the forthcoming Africa Health Security (AHS) Index and a timely discussion on strengthening health security partnerships amid declining resources.


AIxBio Horizon Scan: Spring 2026

Paper

AIxBio Horizon Scan: Spring 2026

Since the AIxBio Horizon Scan Winter 2025-2026 published in March 2026, there has been steady, incremental progress across AI-enabled biological tools. Protein design tools have continued to improve, agentic coding tools have matured in ways that lower barriers to computational biology, and commercial AI companies are making significant investments in the life sciences.



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