论文标题
超级反射数据：数据适合人的世界的投机性想象
Super-reflective Data: Speculative Imaginings of a World Where Data Works for People
论文作者
论文摘要
这是2020年，在录制世界上正在发生的事情的无限数据痕迹的目的中，每个空间和位置都已在数字上进行了增强。这些东西（以及它们的动力无形服务）在分析和剖析此类观察，将音频和视频流变成有益的数据片段的能力方面已经相当复杂。然而，某种程度上，作为平台和服务的最终用户的个人尚未看到此类数据的全部潜力。在这篇投机性的论文中，我们提出了两个假设的迷你场景，与当前的数字世界不同。在前者中，数据控制器不是将数据捕获的数据将捕获的数据转换给需要它尽快需要的人，共同努力以结合，验证和完善它以获得最大的实用性。通过将长期数据治理移交给后者最重视它的人，我们可以同时解决数据碎片和隐私问题，我们使用这种丰富的数据及其倾向于使人们不断优化的趋势讨论道德困境。
It's the year 2020, and every space and place on- and off-line has been augmented with digital things that observe, record, transmit, and compute, for the purposes of recording endless data traces of what is happening in the world. Individually, these things (and the invisible services the power them) have reached considerable sophistication in their ability to analyse and dissect such observations, turning streams of audio and video into informative data fragments. Yet somehow, individuals as end-users of platforms and services have not seen the full potential of such data. In this speculative paper, we propose two hypothetical mini scenarios different from our current digital world. In the former, instead of hoarding it, data controllers turn captured data over to those who need it as quickly as possible, working together to combine, validate, and refine it for maximum usefulness. This simultaneously addresses the data fragmentation and privacy problem, by handing over long-term data governance to those that value it the most In the latter, we discuss ethical dilemmas using the long-term use of such rich data and its tendency to cause people to relentlessly optimise.
