A Decision-Making Process to Implement the ‘Right to Be Forgotten’ in Machine Learning
Katie Hawkins,
Nora Alhuwaish,
Sana Belguith
et al.
Abstract:The unprecedented scale at which personal data is used to train machine learning (ML) models is a motivation to examine the ways in which it can be erased when implementing the GDPR's 'right to be forgotten'. The existing literature investigating this right focus on a purely technical or legal approach, lacking the collaboration required for this interdisciplinary space. Recent works has identified there is no one solution to erasure in ML and this must therefore be decided on a case-by-case basis. However, th… Show more
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