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

Jesus L. Lobo; Sergio Gil-Lopez; Javier Del Ser

doi:10.1109/CAI54212.2023.00085

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

Jesus L. Lobo^*
, Sergio Gil-Lopez
, Javier Del Ser

^*Corresponding author for this work

AI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	179-180
Number of pages	2
ISBN (Electronic)	9798350339840
DOIs	https://doi.org/10.1109/CAI54212.2023.00085
Publication status	Published - 2023
Event	2023 IEEE Conference on Artificial Intelligence, CAI 2023 - Santa Clara, United States Duration: 5 Jun 2023 → 6 Jun 2023

Publication series

Name	Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

Conference

Conference	2023 IEEE Conference on Artificial Intelligence, CAI 2023
Country/Territory	United States
City	Santa Clara
Period	5/06/23 → 6/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

AI ethics
data governance
data privacy
right to be forgotten
trustworthy AI

Access to Document

10.1109/CAI54212.2023.00085

Cite this

Lobo, 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 (pp. 179-180). (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAI54212.2023.00085

Lobo, Jesus L. ; Gil-Lopez, Sergio ; Del Ser, Javier. / The Right to Be Forgotten in Artificial Intelligence : Issues, Approaches, Limitations and Challenges. Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 179-180 (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023).

@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",

}

Lobo, JL, 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

The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges. / Lobo, Jesus L.; Gil-Lopez, Sergio ; Del Ser, Javier.
Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 179-180 (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Right to Be Forgotten in Artificial Intelligence

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AU - Lobo, Jesus L.

AU - Gil-Lopez, Sergio

AU - Del Ser, Javier

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - AI ethics

KW - data governance

KW - data privacy

KW - right to be forgotten

KW - trustworthy AI

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U2 - 10.1109/CAI54212.2023.00085

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M3 - Conference contribution

AN - SCOPUS:85168687622

T3 - Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

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BT - Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Lobo JL, Gil-Lopez S , Del Ser J. The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges. In Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 179-180. (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023). doi: 10.1109/CAI54212.2023.00085

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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