Envisioning a Global Regime Complex to Govern Artificial Intelligence
The report discusses the need for a global regime complex to govern artificial intelligence (AI), addressing its multifaceted challenges through overlapping institutions rather than a single body, emphasizing collaboration, standards, and equitable access.
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| Quick Facts | |
|---|---|
| Report location: | source source 2 |
| Language: | English |
| Publisher: | Carnegie Endowment for International Peace |
| Authors: | Stewart Patrick, Emma Klein, Stewart Patrick |
| Time horizon: | 2024 |
| Geographic focus: | Global |
| Page count: | 0 |
Methods
The research method involved a comprehensive analysis of existing literature, policy proposals, and institutional frameworks related to AI governance. The authors synthesized insights from various stakeholders, including international organizations, governments, and private sector actors, to identify key functions and challenges in establishing a global governance structure for AI.
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Key Insights
The report outlines the emergence of a complex governance framework for artificial intelligence (AI) due to its rapid advancement and the diverse challenges it presents. Initially, there was a push for a singular global institution to regulate AI, akin to the International Atomic Energy Agency (IAEA), but this idea has shifted towards a more fragmented approach involving multiple overlapping institutions. The authors argue that the multifaceted nature of AI governance requires a regime complex that can address various functions, including scientific understanding, standard setting, equitable access, and collective security. They highlight the geopolitical dynamics that complicate consensus-building and emphasize the importance of collaboration among diverse stakeholders, including governments, corporations, and civil society. The report also discusses the necessity of harmonizing regulations and sharing the benefits of AI, particularly with low- and middle-income countries (LMICs). The authors propose that the future governance of AI should be adaptive, allowing for the evolution of regulations in response to technological advancements. They conclude that while challenges exist, particularly in achieving coherence and preventing fragmentation, a well-designed regime complex can facilitate effective global cooperation on AI governance.
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Additional Viewpoints
Categories: 2020s time horizon | 2024 time horizon | English publication language | Global geographic scope | ai governance | collective security | equitable access | geopolitical dynamics | international cooperation | regime complex | regulatory harmonization | scientific understanding | standards setting | technology sharing