Exploring how to more effectively account for national security considerations in AI antitrust cases while respecting precedent, scope, and the core principles of antitrust law
In contrast to prior defense technologies, the research and development of artificial intelligence, including work with growing national security applications, is being driven by a small number of private sector firms. As these technologies scale and find use in security and defense contexts, antitrust scrutiny aimed at maintaining competitive markets may increasingly intersect with national security priorities.
IST’s AI Antitrust and National Security effort asks: What does a principled antitrust remedy framework for AI labs look like—one that respects established legal precedents while addressing the distinctive national security risks of advanced AI systems?
What practical considerations should shape remedy design, and when should national security be a deciding factor? What are the most feasible paths forward?