Explainable analytics in operational research: A defining framework, methods, applications, and a research agenda
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] pracownik
2023
artykuł naukowy
angielski
- Decision analysis
- XAI
- Explainable artificial intelligence
- Interpretable machine learning
- XAIOR
EN The ability to understand and explain the outcomes of data analysis methods, with regard to aiding decision-making, has become a critical requirement for many applications. For example, in operational research domains, data analytics have long been promoted as a way to enhance decision-making. This study proposes a comprehensive, normative framework to define explainable artificial intelligence (XAI) for operational research (XAIOR) as a reconciliation of three subdimensions that constitute its requirements: performance, attributable, and responsible analytics. In turn, this article offers in-depth overviews of how XAIOR can be deployed through various methods with respect to distinct domains and applications. Finally, an agenda for future XAIOR research is defined.
22.09.2023
CC BY (uznanie autorstwa)
czasopismo hybrydowe
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