The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges

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dc.contributor.authorLobo, Jesus L.
dc.contributor.authorGil-Lopez, Sergio
dc.contributor.authorDel Ser, Javier
dc.contributor.institutionIA
dc.date.issued2023
dc.descriptionPublisher Copyright: © 2023 IEEE.
dc.description.abstractThe Right To Be Forgotten is widely conceived as a fundamental principle of the human being. It has become a subject of capital importance in domains where sensitive information is collected from individuals, requiring the provision of monitoring, governance and audit tools to control where such information is used. Artificial Intelligence models are not an exception to this statement: since they are learned from data, this fundamental right should allow individuals to have their personal information erased from AI-based systems. However, the application of this right is not straightforward: what does erasing mean in the context of a model learned from data? Is it just a matter of removing the concerned data and retraining the models? This manuscript provides a brief overview of these and more issues, proposing a desiderata for technical advances noted in this direction, and outlining research directions for prospective studies.en
dc.description.statusPeer reviewed
dc.format.extent2
dc.identifier.citationLobo , J L , Gil-Lopez , S & Del Ser , J 2023 , The Right to Be Forgotten in Artificial Intelligence : Issues, Approaches, Limitations and Challenges . in Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023 . Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023 , Institute of Electrical and Electronics Engineers Inc. , pp. 179-180 , 2023 IEEE Conference on Artificial Intelligence, CAI 2023 , Santa Clara , United States , 5/06/23 . https://doi.org/10.1109/CAI54212.2023.00085
dc.identifier.citationconference
dc.identifier.doi10.1109/CAI54212.2023.00085
dc.identifier.isbn9798350339840
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85168687622&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
dc.relation.ispartofseriesProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAI ethics
dc.subject.keywordsdata governance
dc.subject.keywordsdata privacy
dc.subject.keywordsright to be forgotten
dc.subject.keywordstrustworthy AI
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsComputer Vision and Pattern Recognition
dc.subject.keywordsModeling and Simulation
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsSDG 16 - Peace, Justice and Strong Institutions
dc.titleThe Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challengesen
dc.typeconference output
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