Explanation of black box AI for GDPR related privacy using Isabelle
Conference paper
Kammueller, F. 2022. Explanation of black box AI for GDPR related privacy using Isabelle. Garcia-Alfaro, J., Navarro-Arribas, G. and Dragoni, N. (ed.) 17th DPM International Workshop on Data Privacy Management. Copenhagen, Denmark 29 - 30 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-25734-6_5
Type | Conference paper |
---|---|
Title | Explanation of black box AI for GDPR related privacy using Isabelle |
Authors | Kammueller, F. |
Abstract | In this paper, we present a methodology for constructing explanations for AI classification algorithms. The methodology consists of constructing a model of the context of the application in the Isabelle Infrastructure framework (IIIf) and an algorithm that allows to extract a precise logical rule that specifies the behaviour of the black box algorithm thus allowing to explain it. The explanation is given within the rich logical model of the IIIf. It is thus suitable for human audiences. We illustrate this and validate the methodology on the application example of credit card scoring with special relation to the right of explanation as given by the GDPR. |
Middlesex University Theme | Sustainability |
Conference | 17th DPM International Workshop on Data Privacy Management |
Proceedings Title | Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS 2022 International Workshops, DPM 2022 and CBT 2022, Copenhagen, Denmark, September 26–30, 2022, Revised Selected Papers |
Series | Lecture Notes in Computer Science |
Editors | Garcia-Alfaro, J., Navarro-Arribas, G. and Dragoni, N. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Paperback | 9783031257339 |
Electronic | 9783031257346 |
Publisher | Springer |
Place of publication | Cham |
Publication dates | |
Online | 23 Feb 2023 |
24 Feb 2023 | |
Publication process dates | |
Accepted | 01 Sep 2022 |
Deposited | 30 Sep 2022 |
Output status | Published |
Accepted author manuscript | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-25734-6_5 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-031-25734-6 |
Language | English |
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