ExD: Explainable Deletion
ExD: Explainable Deletion
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DOI：
10.1145/3633500.3633503
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发表时间：
2023-08
期刊：
影响因子：
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通讯作者：
K. Ramokapane;A. Rashid
中科院分区：
文献类型：
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作者：
K. Ramokapane;A. Rashid
本文关注的是数字系统和服务中数据的一个关键但经常被忽视的方面——删除。通过对现有文献的回顾，我们强调了用户在试图从系统和服务中删除数据时所面临的挑战，在如何处理或处理此类请求方面缺乏透明度，以及缺乏对数据已被删除的明确保证。我们强调，这不仅会影响用户对其数据的代理，而且还会带来关于遵守基本法律权利（如被遗忘权）的问题。我们提出了一种新的范式——可解释的删除——以改善用户对其数据的代理和控制，并使系统能够提供有效的保证、透明度和合规性。我们讨论了这些解释所需的属性，以及它们对涉及或对数据删除过程和影响感兴趣的各种个人和团体的相关性和益处。我们讨论了与可解释删除相关的各种设计含义，并为社区提出了研究议程。
This paper focuses on a critical yet often overlooked aspect of data in digital systems and services—deletion. Through a review of existing literature we highlight the challenges that user face when attempting to delete data from systems and services, the lack of transparency in how such requests are handled or processed and the lack of clear assurance that the data has been deleted. We highlight that this not only impacts users’ agency over their data but also poses issues with regards to compliance with fundamental legal rights such as the right to be forgotten. We propose a new paradigm – explainable deletion – to improve users’ agency and control over their data and enable systems to deliver effective assurance, transparency and compliance. We discuss the properties required of such explanations and their relevance and benefit for various individuals and groups involved or having an interest in data deletion processes and implications. We discuss various design implications pertaining to explainable deletion and present a research agenda for the community.