A game-theoretic R&D race model shows that pure Nash equilibria for open-sourcing decisions exist and are computationally tractable in both discrete and continuous settings.
arXiv preprint arXiv:1907.04534 (2019)
3 Pith papers cite this work, alongside 47 external citations. Polarity classification is still indexing.
abstract
In this paper, we argue that competitive pressures could incentivize AI companies to underinvest in ensuring their systems are safe, secure, and have a positive social impact. Ensuring that AI systems are developed responsibly may therefore require preventing and solving collective action problems between companies. We note that there are several key factors that improve the prospects for cooperation in collective action problems. We use this to identify strategies to improve the prospects for industry cooperation on the responsible development of AI.
years
2026 3representative citing papers
Delphi study of 272 experts finds 18 of 24 AI risks >10% likely to cause catastrophe by 2030 in business-as-usual, dropping to five under mitigations; users and public most vulnerable, developers and governments most responsible.
Later derivative LLM releases and those in more crowded competitive environments on Hugging Face receive weaker community recognition.
citing papers explorer
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Why Open Source? A Game-Theoretic Analysis of the AI Race
A game-theoretic R&D race model shows that pure Nash equilibria for open-sourcing decisions exist and are computationally tractable in both discrete and continuous settings.
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Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Delphi study of 272 experts finds 18 of 24 AI risks >10% likely to cause catastrophe by 2030 in business-as-usual, dropping to five under mitigations; users and public most vulnerable, developers and governments most responsible.
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Racing to Release: Priority, Congestion, and Community Recognition in Open-Source LLM Ecosystems
Later derivative LLM releases and those in more crowded competitive environments on Hugging Face receive weaker community recognition.