Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
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Authors
Love, Peter
Fang, Weili
Matthews, Jane
Porter, Stuart
Luo, Hanbin
Ding, Lieyun
Type
Journal Article
Metadata
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Love, P.E.D. and Fang, W. and Matthews, J. and Porter, S. and Luo, H. and Ding, L. Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction.
Faculty
Faculty of Science and Engineering
School
School of Civil and Mechanical Engineering
Collection
Abstract
Explainable artificial intelligence has received limited attention in construction despite its growing importance in various other industrial sectors. In this paper, we provide a narrative review of XAI to raise awareness about its potential in construction. Our review develops a taxonomy of the XAI literature comprising its precepts and approaches. Opportunities for future XAI research focusing on stakeholder desiderata and data and information fusion are identified and discussed. We hope the opportunities we suggest stimulate new lines of inquiry to help alleviate the scepticism and hesitancy toward AI adoption and integration in construction.