A Multi-Stakeholder Perspective on the Limitations of Implementing Artificial Intelligence in Highway Transport
Glory Chinwe Ugo, A. C. Apata, Praise Onimisi Dawodu
Journal of Engineering Research and Reports · pp. 243–249 · Published 17 Feb 2024
10.9734/jerr/2024/v26i21086Abstract
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].
Cited by 4
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K. P. Bindu Madavi, K. Krishna Sowjanya, Tanvir H. Sardar · Springer Tracts on Transportation and Traffic · 2025
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