数据信托与智能环境治理:Sidewalk Labs城市数据信托失败的教训

IF 1.6 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Lisa M. Austin, D. Lie
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引用次数: 9

摘要

数据信托是一种越来越受欢迎的用于管理复杂数据治理问题的提议,尽管它们是什么仍然存在争议。Sidewalk Labs提议创建一个“城市数据信托”,作为Sidewalk Toronto对多伦多部分海滨进行“智能”重建的一部分。在Sidewalk实验室取消该项目之前,其提案的这一部分被拒绝了。本研究报告简要地将城市数据信托置于关于数据信托的一般性辩论中,然后讨论了其失败的一系列原因:其作为一个模型的不连贯性。城市数据信托基金是一个失败的模式,因为它缺乏明确的解决问题的性质、如何确保问责制和监督,以及它与现有数据保护法的关系。这些都是关于数据信托及其在数据治理中的作用的一般性辩论的重要经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Trusts and the Governance of Smart Environments: Lessons from the Failure of Sidewalk Labs’ Urban Data Trust
Data trusts are an increasingly popular proposal for managing complex data governance questions, although what they are remains contested. Sidewalk Labs proposed creating an “Urban Data Trust” as part of the Sidewalk Toronto “smart” redevelopment of a portion of Toronto’s waterfront. This part of its proposal was rejected before Sidewalk Labs cancelled the project. This research note briefly places the Urban Data Trust within the general debate regarding data trusts and then discusses one set of reasons for its failure: its incoherence as a model. The Urban Data Trust was a failed model because it lacked clarity regarding the nature of the problem(s) to which it is a solution, how accountability and oversight are secured, and its relation to existing data protection law. These are important lessons for the more general debate regarding data trusts and their role in data governance.  
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来源期刊
Surveillance & Society
Surveillance & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.20
自引率
20.00%
发文量
42
审稿时长
26 weeks
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