Country profile · United States
The United States argues for sovereign responsibility, domestic AI expertise and practical cooperation without a global regulator. ApexGO provides a preclinical research example, while its laboratory and mouse results remain separate from claims about human treatment or governance.
Michael Kratsios
Assistant to the President and Director of the White House Office of Science and Technology Policy
UN position
Sovereign governments should build AI expertise and cooperate practically without creating a global regulator.
The intervention places responsibility with sovereign governments and emphasises building domestic AI capability and institutional expertise. It presents national capacity as important to understanding and governing AI systems.
Testing is part of that capability: governments should be able to assess models and their potential risks. The United States supports practical international cooperation while rejecting the creation of a global regulator.
These are diplomatic positions about sovereignty and institutional responsibility. The selected scientific work below illustrates technical and experimental capability; it does not validate a particular governance model or political claim.
Scientific context
A University of Pennsylvania-led research team used generative AI to optimise antimicrobial peptides in the ApexGO work, followed by laboratory experiments and testing in mouse infection models. This is preclinical research. The results do not establish human efficacy, an approved antibiotic or patient benefit. ApexGO must not be attributed to the later Bio Genesis programme.
Evidence boundary
A University of Pennsylvania-led team reported generative-AI optimisation of antimicrobial peptides followed by laboratory and mouse infection testing.
The evidence is limited to laboratory and mouse testing. It establishes no human efficacy, no approved antibiotic and no demonstrated patient benefit. ApexGO is not attributed to the later Bio Genesis programme.
The connection is institutional and technical competence plus experimental evaluation. The selected work does not endorse the United States governance model or validate claims about sovereignty or international cooperation.
UN Security Council meeting 10228 · 23 September 2026. Diplomatic position is paraphrased; audio verification is incomplete.
ApexGO original research · Nature Machine Intelligence
“A generative artificial intelligence approach for peptide antibiotic optimization.” Nature Machine Intelligence, 2026. DOI 10.1038/s42256-026-01237-5.
Supports: selected US-associated preclinical AI/drug-discovery example with in-vitro and animal work.
Evidence boundary: preclinical evidence; no human efficacy or safety.
View sourceDOI: 10.1038/s42256-026-01237-5
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