A Multi-Stakeholder Perspective on the Limitations of Implementing Artificial Intelligence in Highway Transport
Glory Chinwe Ugo *
Department of Civil and Environmental Engineering, University of Lagos, Nigeria.
A. C. Apata
Department of Civil and Environmental Engineering, University of Lagos, Nigeria.
Praise Onimisi Dawodu
Department of Civil and Environmental Engineering, University of Lagos, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This research paper explores stakeholders' perspectives on the challenges associated with implementing Artificial Intelligence (Ai) in highway transport. The investigation focuses on three main areas of limitation: technical, regulatory, and ethical barriers. The study, backed by an in-depth survey analysis, reveals key limitations identified by stakeholders, including limited access to Ai technology (42.6%), lack of government support (27.9%), the absence of industry-wide regulations (27.4%), concerns about job displacement (29.4%), privacy implications (25.5%), and cybersecurity risks (30.2%). Additionally, the paper provides recommendations for policymakers, industry stakeholders, and researchers to address these challenges [1].
Keywords: Artificial Intelligence, highway transport, limitations, ethical concerns, challenges, regulatory barriers, technical, stakeholders
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References
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