Feasibility of using Artificial intelligence to minimise cost and time in Arbitration process in the Zambian construction industry

Authors

DOI:

https://doi.org/10.38027/smart.v3n1-1

Keywords:

Artificial intelligence, Arbitration, Construction industry, Dispute resolution

Abstract

The Zambian construction industry (ZCI) is characterised by lengthy and costly dispute resolution procedures, caused by manual and inefficient practices. This study investigated the potential of artificial intelligence (AI) application in minimising cost and time of arbitration in the ZCI. The methodology adopted for this study was mixed method, employing both qualitative and quantitative approaches. Quantitative data was collected using a self-administered structured questionnaire from 65 respondents sampled from contractors and arbitrators. Qualitative data was collected through interviews with 5 respondents drawn from the regulator-chartered institute of arbitrators and the Judiciary. Findings revealed that arbitration is the second most preferred dispute resolution procedure. Furthermore, there is a growing awareness of AI potential in dispute resolution. 80% of the respondents recognized its potential in addressing procedural inefficiencies, which lead to high costs and lengthy arbitration processes. Infrastructure limitations, ethical concerns particularly regarding data security and the loss of human judgment, pose significant challenges to AI adoption. To overcome these challenges, the study recommends that the Government and relevant stakeholders, develop an adoption framework for AI application in arbitration. The paper highlights areas in which policy interventions should be focused, in promoting digital integration in dispute resolution from developing country’s perspective.

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Published

2026-08-15

How to Cite

Feasibility of using Artificial intelligence to minimise cost and time in Arbitration process in the Zambian construction industry. (2026). Smart Design Policies, 3(1), 1-13. https://doi.org/10.38027/smart.v3n1-1

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