Competition and cooperation in artificial intelligence standard setting: Explaining emergent patterns |
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Authors: | Nora von Ingersleben-Seip |
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Institution: | Hochschule für Politik München/Munich School of Politics and Public Policy, Technical University of Munich (TUM), Munich, Germany |
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Abstract: | Efforts to set standards for artificial intelligence (AI) reveal striking patterns: technical experts hailing from geopolitical rivals, such as the United States and China, readily collaborate on technical AI standards within transnational standard-setting organizations, whereas governments are much less willing to collaborate on global ethical AI standards within international organizations. Whether competition or cooperation prevails can be explained by three variables: the actors that make up the membership of the standard-setting organization, the issues on which the organization's standard-setting efforts focus, and the “games” actors play when trying to set standards within a particular type of organization. A preliminary empirical analysis provides support for the contention that actors, issues, and games affect the prospects for cooperation on global AI standards. It matters because shared standards are vital for achieving truly global frameworks for the governance of AI. Such global frameworks, in turn, lower transaction costs and the probability that the world will witness the emergence of AI systems that threaten human rights and fundamental freedoms. |
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Keywords: | artificial intelligence competition cooperation game theory regulation standards technology governance inteligencia artificial competencia cooperación teoría de juego regulación normas gobierno de la tecnología 人工智能 竞争 合作 博弈论 规制 标准 技术治理 |
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