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

Glory Chinwe Ugo, A. C. Apata, Praise Onimisi Dawodu
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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].
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从多方利益相关者的角度看在公路运输中应用人工智能的局限性
本研究论文探讨了利益相关者对在公路运输中实施人工智能(Ai)的相关挑战的看法。调查重点关注三个主要限制领域:技术、监管和道德障碍。这项研究以深入的调查分析为基础,揭示了利益相关者指出的主要限制因素,包括获得人工智能技术的途径有限(42.6%)、缺乏政府支持(27.9%)、缺乏全行业的法规(27.4%)、担心工作岗位被取代(29.4%)、隐私影响(25.5%)和网络安全风险(30.2%)。此外,本文还为政策制定者、行业利益相关者和研究人员提供了应对这些挑战的建议[1]。
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