Algorithmic governance: A modes of governance approach

• 成果类型: Article
• 署名作者: Gritsenko, Daria; Wood, Matthew
• 署名单位: University of Helsinki; University of Helsinki; University of Sheffield
• 刊物名称: REGULATION & GOVERNANCE
• ISSN/ISSBN: 1748-5983
• DOI: 10.1111/rego.12367
• 发表日期: 2022
• 页码: 45-62
• 关键词: market nor hierarchy; big data; meta-governance; insights; network; rules

摘要

This article examines how modes of governance are reconfigured as a result of using algorithms in the governance process. We argue that deploying algorithmic systems creates a shift toward a special form of design-based governance, with power exercised ex ante via choice architectures defined through protocols, requiring lower levels of commitment from governing actors. We use governance of three policy problems - speeding, disinformation, and social sharing - to illustrate what happens when algorithms are deployed to enable coordination in modes of hierarchical governance, self-governance, and co-governance. Our analysis shows that algorithms increase efficiency while decreasing the space for governing actors' discretion. Furthermore, we compare the effects of algorithms in each of these cases and explore sources of convergence and divergence between the governance modes. We suggest design-based governance modes that rely on algorithmic systems might be re-conceptualized as algorithmic governance to account for the prevalence of algorithms and the significance of their effects.