AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use

BCU Open Access Repository (Birmingham City University) 2026 Book

Authors: Abdullahi Babatunde Saka, Kudirat Olabisi Ayinla, Franco Cheung, Anil Sawhney, Alice Graham, James Garner, Noha Saleeb, Opeoluwa Israel Akinradewo, Richard Golding
Cited by: 0

Abstract

As Artificial Intelligence (AI) transforms how projects are costed, managed, and delivered, the Quantity Surveying (QS) profession stands at a critical turning point. The integration of data-driven tools, automation, and predictive analytics is creating opportunities for improved efficiency, sustainability, and decision-making. However, these advancements also raise challenges related to bias, transparency, accountability, and professional integrity. The AI4QS Report responds to these realities by investigating how Quantity Surveyors can adopt AI responsibly, ensuring that technology enhances, rather than replaces human expertise and ethical judgment.

Fields of Study & Subjects

BIM and Construction Integration Artificial Intelligence Applications Ethics and Social Impacts of AI

Publication details

Journal / source
BCU Open Access Repository (Birmingham City University)
Publication date
21 January 2026
Language
EN
Document type
Book