Title
Humans Forget, Machines Remember: Artificial Intelligence and the Right to Be Forgotten
Abstract
This article examines the problem of AI memory and the Right to Be Forgotten. First, this article analyzes the legal background behind the Right to Be Forgotten, in order to understand its potential applicability to AI, including a discussion on the antagonism between the values of privacy and transparency under current E.U. privacy law. Next, the authors explore whether the Right to Be Forgotten is practicable or beneficial in an AI/machine learning context, in order to understand whether and how the law should address the Right to Be Forgotten in a post-AI world. The authors discuss the technical problems faced when adhering to strict interpretation of data deletion requirements under the Right to Be Forgotten, ultimately concluding that it may be impossible to fulfill the legal aims of the Right to Be Forgotten in artificial intelligence environments. Finally, this article addresses the core issue at the heart of the AI and Right to Be Forgotten problem: the unfortunate dearth of interdisciplinary scholarship supporting privacy law and regulation.
Year
DOI
Venue
2018
10.1016/j.clsr.2017.08.007
Computer Law & Security Review
Keywords
DocType
Volume
Right to Be Forgotten,Artificial intelligence (AI),Privacy,Data deletion,Memory
Journal
34
Issue
ISSN
Citations 
2
0267-3649
5
PageRank 
References 
Authors
0.51
0
4
Name
Order
Citations
PageRank
Eduard Fosch Villaronga1229.03
Peter Kieseberg218729.39
Tiffany Li3101.03
Tiffany Li4101.03