PrivExtractor: Toward Redressing the Imbalance of Understanding between Virtual Assistant Users and Vendors

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Privacy and Security Pub Date : 2023-03-23 DOI:10.1145/3588770
T. Bolton, T. Dargahi, Sana Belguith, C. Maple
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Abstract

The use of voice-controlled virtual assistants (VAs) is significant, and user numbers increase every year. Extensive use of VAs has provided the large, cash-rich technology companies who sell them with another way of consuming users’ data, providing a lucrative revenue stream. Whilst these companies are legally obliged to treat users’ information “fairly and responsibly,” artificial intelligence techniques used to process data have become incredibly sophisticated, leading to users’ concerns that a lack of clarity is making it hard to understand the nature and scope of data collection and use. There has been little work undertaken on a self-contained user awareness tool targeting VAs. PrivExtractor, a novel web-based awareness dashboard for VA users, intends to redress this imbalance of understanding between the data “processors” and the user. It aims to achieve this using the four largest VA vendors as a case study and providing a comparison function that examines the four companies’ privacy practices and their compliance with data protection law. As a result of this research, we conclude that the companies studied are largely compliant with the law, as expected. However, the user remains disadvantaged due to the ineffectiveness of current data regulation that does not oblige the companies to fully and transparently disclose how and when they use, share, or profit from the data. Furthermore, the software tool developed during the research is, we believe, the first that is capable of a comparative analysis of VA privacy with a visual demonstration to increase ease of understanding for the user.
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PrivExtractor:解决虚拟助手用户和供应商之间理解的不平衡
语音控制虚拟助手(VAs)的使用非常重要,用户数量每年都在增加。VAs的广泛使用,为那些现金充裕的大型科技公司提供了另一种消费用户数据的方式,提供了一种利润丰厚的收入来源。虽然这些公司在法律上有义务“公平和负责任地”对待用户的信息,但用于处理数据的人工智能技术已经变得非常复杂,导致用户担心缺乏明确性使其难以理解数据收集和使用的性质和范围。在针对虚拟助理的独立用户意识工具方面开展的工作很少。PrivExtractor是一款针对VA用户的新型基于网络的感知仪表板,旨在纠正数据“处理器”和用户之间的这种理解失衡。为了实现这一目标,它将四家最大的虚拟服务供应商作为案例研究,并提供一个比较功能,检查这四家公司的隐私实践及其对数据保护法的遵守情况。根据这项研究,我们得出的结论是,所研究的公司在很大程度上遵守了法律,正如预期的那样。然而,由于当前数据监管的无效,用户仍然处于不利地位,这些监管并未要求公司充分透明地披露他们如何以及何时使用、分享或从数据中获利。此外,我们认为,在研究期间开发的软件工具是第一个能够通过可视化演示对VA隐私进行比较分析的软件工具,以增加用户的理解难度。
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来源期刊
ACM Transactions on Privacy and Security
ACM Transactions on Privacy and Security Computer Science-General Computer Science
CiteScore
5.20
自引率
0.00%
发文量
52
期刊介绍: ACM Transactions on Privacy and Security (TOPS) (formerly known as TISSEC) publishes high-quality research results in the fields of information and system security and privacy. Studies addressing all aspects of these fields are welcomed, ranging from technologies, to systems and applications, to the crafting of policies.
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