论文标题
良好的意图，坏发明：员工如何在工作场所判断普遍的技术
Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace
论文作者
论文摘要
最近引入了普遍的技术与强大的AI结合，以提高工作效率。然而，其中一些技术被认为是侵入性的。要确定哪些，我们应该了解员工倾向于判断这些技术的方式。我们考虑了16种跟踪生产力的技术，并进行了一项研究，其中131名众群落者评判了这些情况。我们发现，根据越来越重要的以下三个方面，一项技术被认为是正确的。也就是说，该技术是否：1）目前得到现有工具的支持； 2）不干扰工作或适合目的； 3）不会造成任何伤害或不侵犯任何个人权利。 Ubicomp研究目前的重点是如何通过使技术更准确或越来越多地将其融入后台来设计更好的技术。也许是时候通过解开AI伦理来设计更好的普遍技术了。
Pervasive technologies combined with powerful AI have been recently introduced to enhance work productivity. Yet, some of these technologies are judged to be invasive. To identify which ones, we should understand how employees tend to judge these technologies. We considered 16 technologies that track productivity, and conducted a study in which 131 crowd-workers judged these scenarios. We found that a technology was judged to be right depending on the following three aspects of increasing importance. That is, whether the technology: 1) was currently supported by existing tools; 2) did not interfere with work or was fit for purpose; and 3) did not cause any harm or did not infringe on any individual rights. Ubicomp research currently focuses on how to design better technologies by making them more accurate, or by increasingly blending them into the background. It might be time to design better ubiquitous technologies by unpacking AI ethics as well.
