Title data
Mann, Sara ; Crook, Barnaby ; Kästner, Lena ; Schomäcker, Astrid ; Speith, Timo:
Sources of Opacity in Computer Systems : Towards a Comprehensive Taxonomy.
In: Schneider, Kurt ; Dalpiaz, Fabiano ; Horkoff, Jennifer
(ed.):
2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). -
Piscataway, NJ, USA
: IEEE
,
2023
. - pp. 337-342
ISBN 979-8-3503-2691-8
DOI: https://doi.org/10.1109/REW57809.2023.00063
Project information
| Project title: |
Project's official title Project's id TRR 248: Grundlagen verständlicher Software-Systeme - für eine nachvollziehbare cyber-physische Welt 389792660 EIS - Explainable Intelligent Systems No information |
|---|---|
| Project financing: |
Deutsche Forschungsgemeinschaft VolkswagenStiftung |
Abstract in another language
Modern computer systems are ubiquitous in contemporary life yet many of them remain opaque. This poses significant challenges in domains where desiderata such as fairness or accountability are crucial. We suggest that the best strategy for achieving system transparency varies depending on the specific source of opacity prevalent in a given context. Synthesizing and extending existing discussions, we propose a taxonomy consisting of eight sources of opacity that fall into three main categories: architectural, analytical, and socio-technical. For each source, we provide initial suggestions as to how to address the resulting opacity in practice. The taxonomy provides a starting point for requirements engineers and other practitioners to understand contextually prevalent sources of opacity, and to select or develop appropriate strategies for overcoming them.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Opacity; Transparency; Explainability; Explainable Artificial Intelligence; XAI; Taxonomy |
| Institutions of the University: | Faculties Faculties > Faculty of Cultural Studies Faculties > Faculty of Cultural Studies > Department of Philosophy Faculties > Faculty of Cultural Studies > Department of Philosophy > Chair Philosophy, Computer Science and Artificial Intelligence Research Institutions > Central research institutes > Research Center for AI in Science and Society Research Institutions Research Institutions > Central research institutes |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 100 Philosophy and psychology > 100 Philosophy |
| Date Deposited: | 29 Apr 2024 07:15 |
| Last Modified: | 04 Nov 2025 10:24 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/89425 |

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