Mapping the complexity of legal challenges for trustworthy drones on construction sites in the United Kingdom

Joshua Krook, David M. Bossens, Peter D. Winter, John Downer, Shane Windsor
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Abstract

Drones, unmanned aircraft controlled remotely and equipped with cameras, have seen widespread deployment across military, industrial, and commercial domains. The commercial sector, in particular, has experienced rapid growth, outpacing regulatory developments due to substantial financial incentives. The UK construction sector exemplifies a case where the regulatory framework for drones remains unclear. This article investigates the state of UK legislation on commercial drone use in construction through a thematic analysis of peer-reviewed literature. Four main themes, including opportunities, safety risks, privacy risks, and the regulatory context, were identified along with twenty-one sub-themes such as noise and falling materials. Findings reveal a fragmented regulatory landscape, combining byelaws, national laws, and EU regulations, creating business uncertainty. Our study recommends the establishment of specific national guidelines for commercial drone use, addressing uncertainties and building public trust, especially in anticipation of the integration of ‘autonomous’ drones. This research contributes to the responsible computing domain by uncovering regulatory gaps and issues in UK drone law, particularly within the often-overlooked context of the construction sector. The insights provided aim to inform future responsible computing practices and policy development in the evolving landscape of commercial drone technology.
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绘制英国建筑工地上值得信赖的无人机所面临的复杂法律挑战图
无人机是一种可远程控制并装有摄像头的无人驾驶飞机,已在军事、工业和商业领域得到广泛部署。尤其是商业领域,由于大量的经济激励措施,其增长速度超过了监管发展的速度。英国建筑行业是无人机监管框架仍不明确的典型案例。本文通过对同行评议的文献进行专题分析,调查了英国建筑业商用无人机的立法状况。文章确定了四大主题,包括机遇、安全风险、隐私风险和监管环境,以及 21 个子主题,如噪音和材料坠落。研究结果表明,监管环境支离破碎,既有附则,又有国家法律和欧盟法规,给企业带来了不确定性。我们的研究建议为商用无人机的使用制定具体的国家指导方针,以解决不确定性并建立公众信任,特别是在 "自主 "无人机的整合方面。本研究揭示了英国无人机法律中的监管漏洞和问题,尤其是在经常被忽视的建筑领域,为责任计算领域做出了贡献。在商用无人机技术不断发展的背景下,所提供的见解旨在为未来的责任计算实践和政策制定提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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