Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly more important given their potential implications such as associated risks and ethical issues. With the great benefits promised from being able to first supply such technologies, safety precautions and societal consequences might be ignored or shortchanged in exchange for speeding up the development, therefore engendering a racing narrative among the developers. Starting from a game-theoretical model describing an idealised technology race in a well-mixed world of players, here we investigate how different interaction structures among race participants can alter collective choices and requirements for regulatory actions. Our findings indicate that, when participants portray a strong diversity in terms of connections and peer-influence (e.g., when scale-free networks shape interactions among parties), the conflicts that exist in homogeneous settings are significantly reduced, thereby lessening the need for regulatory actions. Furthermore, our results suggest that technology governance and regulation may profit from the world's patent heterogeneity and inequality among firms and nations, so as to enable the design and implementation of meticulous interventions on a minority of participants, which is capable of influencing an entire population towards an ethical and sustainable use of advanced technologies.
翻译:鉴于人造情报(AI)等先进技术的潜在影响,如相关风险和伦理问题,监管已变得越来越重要。由于能够首先提供此类技术所带来的巨大好处,安全防范和社会后果可能被忽略或改变,以换取加速发展,从而在开发者中间形成一种竞技叙事。从描述一种理想化技术竞赛的游戏理论模型开始,我们在这里调查种族参与者之间的不同互动结构如何能够改变集体选择和管制行动的要求。我们的研究结果表明,当参与者在联系和同侪影响方面表现出强烈的多样性时(例如,当无规模网络影响各方之间的互动时),在同质环境下存在的冲突会大大减少,从而减少管制行动的必要性。此外,我们的结果表明,技术治理和管制可能从世界专利差异和公司与国家间不平等中获益,从而能够设计和实施对少数参与者的细致干预,从而能够影响整个人口,实现先进技术的道德和可持续使用。