This article contributes to debates on algorithmic regulation by focusing on the domain of security. It develops an infrastructural perspective, by analyzing how algorithmic regulation is enacted through the custom-built transatlantic data infrastructures of the EU-U.S. Passenger Name Records and Terrorism Financing Tracking Program programs. Concerning regulation through algorithms, this approach analyzes how specific, commercial data are rendered transferable and meaningful in a security context. Concerning the regulation of algorithms, an infrastructural perspective examines how public values like privacy and accountability are built into international data infrastructures. The creation of data infrastructures affects existing modes of governance and fosters novel power relations among public and private actors. We highlight emergent modes of standard setting, thus enriching Yeung's (2018) taxonomy, and question the practical effects of operationalizing public values through infrastructural choices. Ultimately, the article offers a critical reading of algorithmic security, and how it materially, legally, and politically supports specific ways of doing security.

中文翻译：

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安全算法监管：基础设施视角

本文通过关注安全领域，为关于算法监管的辩论做出了贡献。它通过分析如何通过欧盟-美国乘客姓名记录和恐怖主义融资跟踪计划计划的定制跨大西洋数据基础设施来制定算法监管，从而开发了一个基础设施的视角。关于通过算法进行的监管，这种方法分析了特定的商业数据如何在安全环境中变得可转移和有意义。关于监管算法，基础设施视角检查隐私和问责制等公共价值观如何构建到国际数据基础设施中。数据基础设施的创建会影响现有的治理模式，并促进公共和私人参与者之间的新型权力关系。我们强调标准制定的新兴模式，从而丰富了 Yeung (2018) 的分类，并质疑通过基础设施选择实现公共价值的实际效果。最终，这篇文章对算法安全进行了批判性解读，以及它如何在物质、法律和政治上支持实现安全的特定方式。