Zschech, Patrick and Weinzierl, Sven and Kraus, Mathias (2026) Inherently Interpretable Machine Learning: A Contrasting Paradigm to Post-hoc Explainable AI. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 68. pp. 445-463. ISSN 2363-7005, 1867-0202
Full text not available from this repository. (Request a copy)| Item Type: | Article |
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| Uncontrolled Keywords: | ARTIFICIAL-INTELLIGENCE; BLACK-BOX; Interpretable machine learning (IML); Explainable artificial intelligence (XAI); Inherent interpretability; Post-hoc explainability; Predictive analytics; Decision support systems |
| Subjects: | 000 Computer science, information & general works > 004 Computer science |
| Divisions: | Informatics and Data Science > Department Information Systems > Chair of Explainable Artificial Inteligence for Business Value Creation (Prof. Dr. Mathias Kraus) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 22 Apr 2026 06:56 |
| Last Modified: | 22 Apr 2026 06:56 |
| URI: | https://pred.uni-regensburg.de/id/eprint/67223 |
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