黑镜中用户分析的易用性和道德性

H. Pandit, D. Lewis
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引用次数: 14

摘要

个人数据的使用是一把双刃剑,一方面通过个性化和用户分析提供好处,另一方面引发了一些阻碍技术进步的伦理和道德问题。法律经常试图反映社会观念的变化,例如《通用数据保护条例》(GDPR)就迎合了对个人数据使用的明确同意,尽管行为可能仍然是合法的,但不被认为是可接受的。《黑镜》是一部电视剧,旨在想象各种场景,测试这种观念的边界,经常被形容为未来主义。在本文中,我们讨论了现有技术是如何结合起来计算概率度量或评级的,就像“暴跌”一集所呈现的那样。我们展示了这些技术及其应用的现实世界实例,以及如何使用无穷无尽的网络轻松扩展它们。我们使用“道德画布”来讨论这些技术应用所带来的道德困境,这是我们鼓励讨论负责任创新的道德影响的方法和工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ease and Ethics of User Profiling in Black Mirror
The use of personal data is a double-edged sword that on one side provides benefits through personalisation and user profiling, while the other raises several ethical and moral implications that impede technological progress. Laws often try to reflect the shifting values of social perception, such as the General Data Protection Regulation (GDPR) catering to explicit consent over use of personal data, though actions may still be legal without being perceived as acceptable. Black Mirror is a TV series that serves to imagine scenarios that test the boundary of such perceptions, and is often described as being futuristic. In this paper, we discuss how existing technologies have already coalesced towards calculating a probability metric or rating as presented by the episode 'Nosedive'. We present real-world instances of such technologies and their applications, and how they can be easily expanded using the interminable web. The dilemma posed by the ethics of such technological applications is discussed using the 'Ethics Canvas', our methodology and tool for encouraging discussions on ethical implications in responsible innovation.
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