Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
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...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/89696 |
| _version_ | 1848765273211928576 |
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| author | Love, Peter Fang, Weili Matthews, Jane Porter, Stuart Luo, Hanbin Ding, Lieyun |
| author_facet | Love, Peter Fang, Weili Matthews, Jane Porter, Stuart Luo, Hanbin Ding, Lieyun |
| author_sort | Love, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:32:38Z |
| format | Journal Article |
| id | curtin-20.500.11937-89696 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:32:38Z |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-896962023-01-30T03:14:59Z Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Love, Peter Fang, Weili Matthews, Jane Porter, Stuart Luo, Hanbin Ding, Lieyun cs.AI cs.AI H.0; H.4; J.0 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. Journal Article http://hdl.handle.net/20.500.11937/89696 restricted |
| spellingShingle | cs.AI cs.AI H.0; H.4; J.0 Love, Peter Fang, Weili Matthews, Jane Porter, Stuart Luo, Hanbin Ding, Lieyun Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction |
| title | Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction |
| title_full | Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction |
| title_fullStr | Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction |
| title_full_unstemmed | Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction |
| title_short | Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction |
| title_sort | explainable artificial intelligence: precepts, methods, and opportunities for research in construction |
| topic | cs.AI cs.AI H.0; H.4; J.0 |
| url | http://hdl.handle.net/20.500.11937/89696 |