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November 1, 2020Global PolicyOpen Access

Fragmentation and the Future: Investigating Architectures for International AI Governance

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Authors

PCPeter CihonMMMatthijs M. MaasLKLuke Kemp

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Overview

Explores the trade-offs in AI governance architectures, revealing implications for international policy design.

Key Points

  • To explore whether international AI governance should adopt a fragmented or centralized approach.
  • Analyzed historical regimes in environment, trade, and security for insights on AI governance.
  • Identified advantages and disadvantages of centralization versus fragmentation.
  • Provided recommendations based on the potential development of high-level machine intelligence.
  • Centralization can enhance efficiency and political power but risks creating a slow, brittle institution.
  • Fragmented governance allows for self-organization and may deter forum shopping advantages.
  • Monitoring the evolving landscape of AI governance is essential to understand its development trajectory.

Cite This Study

Cihon et al. (2020) studied this question.

synapsesocial.com/papers/6a0ec61c1c5e2d2319f9d9bfhttps://doi.org/10.1111/1758-5899.12890
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