AI Governance
The governance of artificial intelligence presents one of the defining policy challenges of our era. As AI systems are deployed across industries — from healthcare diagnostics to judicial sentencing — the frameworks governing their development, deployment, and accountability remain fragmented across jurisdictions. GDEF's research examines the strategic dynamics of global AI regulation, the trade-offs between innovation speed and safety assurance, and the coordination mechanisms needed to prevent a destructive regulatory race.
Insights on AI Governance
8 publications exploring this topic.
The AI Governance Trilemma: Innovation, Safety, and Global Competitiveness
A game-theoretic analysis of the impossible triangle facing regulators as the US, EU, and China compete to shape the global AI governance landscape through divergent regulatory strategies.
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Generative AI and Intellectual Property Governance
The tension between AI training on copyrighted data, fair use doctrines across jurisdictions, and the economic implications for creative industries valued at $2.6 trillion globally.
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AI Compute and the Stackelberg Structure of Semiconductor Supply Chains
Advanced semiconductor fabrication exhibits extreme geographic concentration — the top 3 facilities produce 92% of sub-5nm chips. We model this as a Stackelberg game to quantify systemic fragility.
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Sovereign Wealth Funds and Strategic Tech Investment
Sovereign wealth funds have shifted 22% of portfolios to strategic technology. This paper models sovereign investment competition as a Stackelberg game with implications for global tech markets.
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Open Source AI and the Innovation Commons
Public goods analysis of open-source foundation models, the free-rider problem in AI safety research, and governance frameworks for shared AI infrastructure.
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Algorithmic Governance and Public Sector AI Accountability
Fairness-accuracy trade-offs in government AI systems, the impossibility of simultaneous algorithmic fairness criteria, and the case for continuous audit mechanisms.
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Smart Cities and Urban Digital Infrastructure
Comparative analysis of Singapore, Barcelona, and Seoul smart city models reveals fundamental trade-offs between operational efficiency, privacy, and democratic governance.
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Information Integrity and Platform Accountability
Disinformation as negative externality, content moderation as public good provision, and comparative analysis of the DSA, Section 230 reform proposals, and Brazil's approach.
Read analysisRegulation & Policy
Developing adaptive governance frameworks for digital assets, data sovereignty, and cross-border regulatory harmonisation — balancing innovation imperatives with consumer protection and institutional accountability.
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