The Global Institutional Governance of AI: A Four-Dimensional Perspective

R. Neuwirth
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Abstract

The present debate about the governance of artificial intelligence (AI) is dominated by a narrative of a “global race toward the regulation of AI.” Such a narrative bears serious dangers and should be rephrased as the “race toward the global regulation of AI” to adequately address the cross-cutting, cross-boundary, and cross-cultural nature of these technologies. If the debate about the future regulation of AI is to efficiently address the serious dangers and potentially existential risks related to AI, then it should be tied to other global governance issues, such as those summarized by the United Nations Sustainable Development Goals (SDGs). For this endeavor to be successful, the substantive questions of regulation must be combined with efforts to reform the present international system with a view to establishing a more efficient and coherent global institutional framework. It is important to be mindful of past obstacles in the reform of existing international organizations and to avoid the need for another global cataclysm to trigger institutional reform; thus, the article follows the idea that cognitive change leads to the transformation of international organizations. As both a technology aimed to replicate the human mind and an example of an important linguistic trend of a rise in essentially oxymoronic concepts, AI is deemed to provide the right point of departure to ponder future modes of human cognition – modes that reflect Einstein’s description of a world as a “four-dimensional space – time continuum,” – which may help to imagine the contours of a future global institutional framework.
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人工智能的全球制度治理:四维视角
目前关于人工智能(AI)治理的辩论主要是 "全球竞相监管人工智能 "的说法。这种说法存在严重的危险,应改写为 "全球竞相监管人工智能",以充分应对这些技术的跨领域、跨边界和跨文化性质。如果关于人工智能未来监管的辩论要有效解决与人工智能相关的严重危险和潜在生存风险,那么它就应该与其他全球治理问题联系起来,例如联合国可持续发展目标(SDGs)所总结的那些问题。要使这一努力取得成功,必须将监管的实质性问题与改革当前国际体系的努力结合起来,以期建立一个更有效、更一致的全球体制框架。重要的是,要牢记现有国际组织改革过去遇到的障碍,避免需要另一场全球灾难来触发体制改革;因此,本文遵循认知变化导致国际组织转型的观点。人工智能既是一项旨在复制人类思维的技术,也是一个重要的语言趋势--本质上矛盾的概念增多--的例子,因此被认为是思考人类未来认知模式的正确出发点--这些模式反映了爱因斯坦对世界 "四维空间--时间连续体 "的描述,可能有助于想象未来全球体制框架的轮廓。
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