Are we Doomed to an AI Race? Why Self-Interest Could Drive Countries Towards a Moratorium on Superintelligence
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Abstract (arXiv)
This paper uses game theory to argue that, contrary to the prevailing view, a moratorium on Artificial Superintelligence (ASI) can be in a state's self-interest. By formalizing trategic interactions between geopolitical superpowers, we model the trade-off between the benefits of technological supremacy and the catastrophic risks of uncontrolled ASI. The analysis reveals that as the perceived cost of loss of control increases sufficiently relative to other parameters, it becomes in each state's self-interest to impose a moratorium. We further provide empirical evidence suggesting that the global perception of ASI risk is rising, making a stable, rational moratorium increasingly plausible in the current geopolitical landscape.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 36 references that are in the map. First posted on arXiv 2 May 2026.
Builds on
7 of 36 references.
References · 7
- 2024Thousands of AI Authors on the Future of AIcited by 48
- 2024A Taxonomy of Systemic Risks from General-Purpose AIcited by 12
- 2025Future progress in artificial intelligence: A survey of expert opinioncited by 6
- 2024The Manhattan Trap: Why a Race to Artificial Superintelligence is Self-Defeatingcited by 4
- 2025Against racing to AGI: Cooperation, deterrence, and catastrophic riskscited by 2
- 2025Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligencecited by 1
- 2025What are the odds? Risk and uncertainty about AI existential riskcited by 1
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Citing papers per year: 2026: 1.
1 paper.