Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction

Autor:	Love, Peter ED, Fang, Weili, Matthews, Jane, Porter, Stuart, Luo, Hanbin, Ding, Lieyun
Rok vydání:	2022
Předmět:	Computer Science - Artificial Intelligence H.0 H.4 J.0
Druh dokumentu:	Working Paper
Popis:	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. Comment: 56 pages, 3 figures. arXiv admin note: text overlap with arXiv:1910.10045 by other authors
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2211.06579 Zobrazit plný text záznamu View this record from Arxiv