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

Love, Peter; Fang, Weili; Matthews, Jane; Porter, Stuart; Luo, Hanbin; Ding, Lieyun

Access Status

In process

Authors

Love, Peter

Fang, Weili

Matthews, Jane

Porter, Stuart

Luo, Hanbin

Ding, Lieyun

Type

Journal Article

Metadata

Show full item record

Citation

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

URI

http://hdl.handle.net/20.500.11937/89696

Collection

Curtin Research Publications

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.