A Multi-Stakeholder Perspective on the Limitations of Implementing Artificial Intelligence in Highway Transport

Ugo, Glory Chinwe and Apata, A. C. and Dawodu, Praise Onimisi (2024) A Multi-Stakeholder Perspective on the Limitations of Implementing Artificial Intelligence in Highway Transport. Journal of Engineering Research and Reports, 26 (2). pp. 243-249. ISSN 2582-2926

[thumbnail of Ugo2622024JERR112937.pdf] Text
Ugo2622024JERR112937.pdf - Published Version

Download (265kB)

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].

Item Type: Article
Subjects: Research Scholar Guardian > Engineering
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 19 Feb 2024 05:49
Last Modified: 19 Feb 2024 05:49
URI: http://science.sdpublishers.org/id/eprint/2580

Actions (login required)

View Item
View Item