ExD: Explainable Deletion

5Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Ramokapane, K. M., & Rashid, A. (2023). ExD: Explainable Deletion. In ACM International Conference Proceeding Series (pp. 34–47). Association for Computing Machinery. https://doi.org/10.1145/3633500.3633503

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free