没有代表性就没有算法:探索性沙盒中的监管实验试点研究。

Denisa Reshef Kera, František Kalvas
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引用次数: 0

摘要

区块链服务探索性沙盒 "Lithopy "为事后或事前监管算法服务的理想框架和指导方针提供了一种实验性替代方案。为了了解这种实验方法的可能性和局限性,我们将沙盒中的监管预期与现实生活中关于 "实际 "侵入性服务(联系人追踪应用程序)的决策进行了比较。在捷克共和国 COVID-19 大流行的第一波和第二波(2020 年 1 月、6 月和 2021 年 4 月)之前和期间,我们收集了一组 59 名参与者对假设和实际侵入性服务的反馈意见。参与者表示支持基于独立监督而不是政府监督的干预措施,以增加参与性和代表性。与会者并没有将法规简化为守则,也没有坚持在守则之上制定强有力的法规,而是要求将守则和法规混合起来。我们将其视为 "没有代表就没有算法 "的要求。侵入性服务是新的算法 "领土","数据 "定居者必须在新的基础上重新定义他们的主权和代理权。他们拒绝依赖现有机构和设计治理的承诺,而是寻求能够参与服务的设计、实施和评估整个周期的工具。沙盒提供了一个环境,弥补了算法服务设计及其监管中的民主缺失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

No Algorithmization Without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox.

No Algorithmization Without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox.

No Algorithmization Without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox.

No Algorithmization Without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox.

The exploratory sandbox for blockchain services, Lithopy, provided an experimental alternative to the aspirational frameworks and guidelines regulating algorithmic services ex post or ex ante. To understand the possibilities and limits of this experimental approach, we compared the regulatory expectations in the sandbox with the real-life decisions about an "actual" intrusive service: contact tracing application. We gathered feedback on hypothetical and real intrusive services from a group of 59 participants before and during the first and second waves of the COVID-19 pandemic in the Czech Republic (January, June 2020, and April 2021). Participants expressed support for interventions based on an independent rather than government oversight that increases participation and representation. Instead of reducing the regulations to code or insisting on strong regulations over the code, participants demanded hybrid combinations of code and regulations. We discuss this as a demand for "no algorithmization without representation." The intrusive services act as new algorithmic "territories," where the "data" settlers must redefine their sovereignty and agency on new grounds. They refuse to rely upon the existing institutions and promises of governance by design and seek tools that enable engagement in the full cycle of the design, implementation, and evaluation of the services. The sandboxes provide an environment that bridges the democratic deficit in the design of algorithmic services and their regulations.

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