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

Saka, Abdullahi B. and Ayinla, Kudirat and Cheung, Franco and Sawhney, Anil and Graham, Alice and Garner, James and Saleeb, Noha and Akinradewo, Opeoluwa Israel and Golding, Richard (2026) AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use. Project Report. AI4QS Initiative.

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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.

Item Type:	Monograph (Project Report)
Dates:	Date Event 21 January 2026 Published
Subjects:	CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
Divisions:	Architecture, Built Environment, Computing and Engineering > Engineering
Depositing User:	Gemma Tonks
Date Deposited:	06 Feb 2026 13:46
Last Modified:	06 Feb 2026 13:46
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16837

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