@inproceedings{d4aab9f17be94107903c1b7b34e284b8,
title = "The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges",
abstract = "The 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.",
keywords = "AI ethics, data governance, data privacy, right to be forgotten, trustworthy AI",
author = "Lobo, {Jesus L.} and Sergio Gil-Lopez and {Del Ser}, Javier",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Artificial Intelligence, CAI 2023 ; Conference date: 05-06-2023 Through 06-06-2023",
year = "2023",
doi = "10.1109/CAI54212.2023.00085",
language = "English",
series = "Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "179--180",
booktitle = "Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023",
address = "United States",
}
