Uncertainty, Information, and Risk in International Technology Races

Uncertainty, Information, and Risk in International Technology Races

November 17, 2023

Nicholas Emery-Xu, Andrew Park, and Robert Trager

View Journal Article / Working Paper >

A formal model reveals how the information environment affects international races to implement a powerful, dangerous new military technology, which may cause a “disaster” affecting all states. States implementing the technology face a tradeoff between the safety of the technology and performance in the race. States face unknown, private, and public information about capabilities. More decisive races, in which small performance leads produce larger probabilities of victory, are usually more dangerous. In addition, revealing information about rivals’ capabilities has two opposing effects on risk: states discover either that they are far apart in capability and compete less or that they are close in capability and drastically reduce safety to win. Therefore, the public information scenario is less risky than the private information scenario except under high decisiveness. Finally, regardless of information, the larger the eventual loser’s impact on safety relative to the eventual winner’s, the more dangerous is the race.

Image for Determining the State of the Art in General-Purpose AI Risk Management: From Code to Practice

Determining the State of the Art in General-Purpose AI Risk Management: From Code to Practice

April 29, 2026
Image for Fingerprinting All AI Cluster I/O Without Mutually Trusted Processors

Fingerprinting All AI Cluster I/O Without Mutually Trusted Processors

April 28, 2026