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Strategic Insights from Simulation Gaming of AI Race Dynamics

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arxiv 2410.03092 v1 pith:KYO4BNIL submitted 2024-10-04 cs.CY cs.AI

classification cs.CYcs.AI
keywords developmentinsightsagreementschallengesgameplaygovernanceinternationalpotential
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We present insights from "Intelligence Rising", a scenario exploration exercise about possible AI futures. Drawing on the experiences of facilitators who have overseen 43 games over a four-year period, we illuminate recurring patterns, strategies, and decision-making processes observed during gameplay. Our analysis reveals key strategic considerations about AI development trajectories in this simulated environment, including: the destabilising effects of AI races, the crucial role of international cooperation in mitigating catastrophic risks, the challenges of aligning corporate and national interests, and the potential for rapid, transformative change in AI capabilities. We highlight places where we believe the game has been effective in exposing participants to the complexities and uncertainties inherent in AI governance. Key recurring gameplay themes include the emergence of international agreements, challenges to the robustness of such agreements, the critical role of cybersecurity in AI development, and the potential for unexpected crises to dramatically alter AI trajectories. By documenting these insights, we aim to provide valuable foresight for policymakers, industry leaders, and researchers navigating the complex landscape of AI development and governance.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Manhattan Trap: Why a Race to Artificial Superintelligence is Self-Defeating

    cs.CY 2024-12 reject novelty 6.0 of 10

    Under the same assumptions used to justify an ASI race, racing to superintelligence is strategically self-defeating, and the situation is better modeled as a trust dilemma in which mutual restraint is both preferable ...

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