Explanation by automated reasoning using the Isabelle Infrastructure framework
Conference paper
Kammueller, F. 2022. Explanation by automated reasoning using the Isabelle Infrastructure framework. Chen, J.Y.C., Fragomeni, G., Degen, H. and Ntoa, S. (ed.) HCII 2022: 24th International Conference on Human-Computer Interaction. Virtual 26 Jun - 01 Jul 2022 Springer. pp. 307-318 https://doi.org/10.1007/978-3-031-21707-4_22
Type | Conference paper |
---|---|
Title | Explanation by automated reasoning using the Isabelle Infrastructure framework |
Authors | Kammueller, F. |
Abstract | In this paper, we propose the use of interactive theorem proving for explainable machine learning. After informally motivating our proposition, we illustrate it on the dedicated application of explaining security attacks using the Isabelle Infrastructure framework and its pro- cess of dependability engineering. This formal framework and process provides the logics for specification and modeling. Attacks on security of the system are explained by specification and proofs in the Isabelle Infrastructure framework. Existing case studies of dependability engineering in Isabelle are used as feasibility studies to illustrate how different aspects of explanations are covered by the Isabelle Infrastructure framework. Finally, we propose a research agenda on how first-class ex- planation integrated with automated reasoning will solve the problem. |
Keywords | Explainable AI; Automated reasoning; Dependability engineering; First class representation of attack trees; Isabelle infrastrucure framework |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Conference | HCII 2022: 24th International Conference on Human-Computer Interaction |
Page range | 307-318 |
Proceedings Title | HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings |
Series | Lecture Notes in Computer Science |
Editors | Chen, J.Y.C., Fragomeni, G., Degen, H. and Ntoa, S. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Paperback | 9783031217067 |
Electronic | 9783031217074 |
Publisher | Springer |
Publication dates | |
25 Nov 2022 | |
Online | 25 Nov 2022 |
Publication process dates | |
Deposited | 10 Jun 2022 |
Accepted | 17 Feb 2022 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This version of the paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-21707-4_22 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-21707-4_22 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-031-21707-4 |
Language | English |
https://repository.mdx.ac.uk/item/89wy4
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