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XPLAIN: a system for creating and explaining expert consulting programs
Abstract
Traditional methods for explaining programs provide explanations by converting the code of the program or traces of its execution to English. While such methods can sometimes adequately explain program behavior, they typically cannot provide justifications for that behavior. That is, such systems cannot tell why what the system is doing is a reasonable thing to be doing. The problem is that the knowledge required to provide these justifications was used to produce the program but is itself not recorded as part of the code, and hence is unavailable. The XPLAIN system uses an automatic programmer to generate a consulting program by refinement from abstract goals. The automatic programmer uses a domain model, consisting of descriptive facts about the application domain, and a set of domain principles which prescribe behavior and drive the refinement process forward. By examining the refinement structure created by the automatic programmer, XPLAIN provides justifications of the code. XPLAIN has been used to re-implement major portions of a Digitalis Therapy Advisor and provides superior explanations of its behavior.
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Cited by
Designing Theory-Driven User-Centric Explainable AI
Wang, D., Yang, Q., Abdul, A., & Lim, B. Y. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300831 · Cited by 906
Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability
London, A. J. (2019) · Hastings Center Report · doi:10.1002/hast.973 · Cited by 801
Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174156 · Cited by 743
Langer, M., Oster, D., Speith, T., Hermanns, H., Kästner, L., Schmidt, E., Sesing, A., & Baum, K. (2021) · Artificial Intelligence · doi:10.1016/j.artint.2021.103473 · Cited by 652
Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice1
Gregor, S., & Benbasat, I. (1999) · MIS Quarterly · doi:10.2307/249487 · Cited by 535
Metadata
- Authors
- Swartout, W. R.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1983-09
- Volume
- 21
- Issue
- 3
- Pages
- 285-325
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2048737604
- Cited by
- 393
- References
- 0
- FWCI
- 15.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Swartout, W. R. (1983). XPLAIN: a system for creating and explaining expert consulting programs. Artificial Intelligence. https://doi.org/10.1016/s0004-3702(83)80014-9
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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