Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
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Abstract
Abstract Digitalization and technologization affect numerous domains, promising advantages but also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance implement these technological advances—especially Artificial Intelligence—regulators prescribe high levels of transparency, assuring the traceability of decisions for third parties. Explainable Artificial Intelligence (XAI) is of tremendous importance in this context. We provide an overview of current research on XAI in Finance with a systematic literature review screening 2,022 articles from leading Finance, Information Systems, and Computer Science outlets. We identify a set of 60 relevant articles, classify them according to…
Citation impact
227
total citations
- FWCI
- 37.36
- Percentile
- 100%
- References
- 114
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Transparency (behavior)
- Computer science
- Portfolio
- Context (archaeology)
- Finance
- Traceability
- Data science
- Management science
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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