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

Glory Chinwe Ugo, A. C. Apata, Praise Onimisi Dawodu
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引用次数: 0

摘要

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]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Stakeholder Perspective on the Limitations of Implementing Artificial Intelligence in Highway Transport
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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