Privacy Aware Machine Learning and the Right to be forgotten

Bernd Malle, Sebastian Schrittwieser, Peter Kieseberg, Andreas Holzinger

Research output: Contribution to journalArticle

Abstract

While machine learning is one of the fastest growing technologies in the area of computer science, the goal of analysing large amounts of data for information extraction collides with the privacy of individuals. Hence, in order to protect sensitive information, the effects of the right to be forgotten on machine learning algorithms need to be studied more extensively.
Original languageEnglish
Pages (from-to)22-23
Number of pages2
JournalERCIM news
Volume107
Issue number10
Publication statusPublished - 10 Oct 2016

Keywords

  • Privacy
  • Privacy-Aware Machine Learning
  • Machine Learning

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Review

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