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规制创新方向

Regulating the direction of innovation
Journal of Public Economics · 2025 · Joshua S. Gans

中文摘要

本文考察潜在危害存在不确定性时对技术创新方向的规制。我们构建了一个包含两条相互竞争技术路径的模型,并分析了多种规制干预措施。最优规制方式关键取决于潜在危害相对于技术收益的大小。我们的分析揭示,在研究路径间配置资源时,存在对有害技术加倍投入的动机,这挑战了关于多元化的常见直觉。我们证明,在许多情形下,事后规制工具——特别是责任制度——优于事前限制。这些见解对于人工智能等新兴技术的规制具有重要启示,表明有必要建立能够根据所获信息作出响应的规制框架。

Abstract

This paper examines the regulation of technological innovation direction under uncertainty about potential harms. We develop a model with two competing technological paths and analyse various regulatory interventions. The optimal regulatory approach depends critically on the magnitude of potential harm relative to technological benefits. Our analysis reveals a motive to double down on harmful technologies in resource allocation across research paths, challenging common intuitions about diversification. We demonstrate that ex post regulatory instruments, particularly liability regimes, outperform ex ante restrictions in many scenarios. These insights have important implications for regulating emerging technologies like artificial intelligence, suggesting the need for informationally-responsive regulatory frameworks.
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