Artificial intelligence (AI) and robotics research and implementation emerged in the architecture, engineering, and construction (AEC) industry to positively impact project efficiency and effectiveness concerns such as safety, productivity, and quality. This shift, however, warrants the need for ethical considerations of AI and robotics adoption due to its potential negative impacts on aspects such as job security, safety, and privacy. Nevertheless, this did not receive sufficient attention, particularly within the academic community. This research systematically reviews AI and robotics research through the lens of ethics in the AEC community for the past five years. It identifies nine key ethical issues namely job loss, data privacy, data security, data transparency, decision-making conflict, acceptance and trust, reliability and safety, fear of surveillance, and liability, by summarizing existing literature and filtering it further based on its AEC relevance. Furthermore, thirteen research topics along the process were identified based on existing AEC studies that had direct relevance to the theme of ethics in general and their parallels are further discussed. Finally, the current challenges and knowledge gaps are discussed and seven specific future research directions are recommended. This study not only signifies more stakeholder awareness of this important topic but also provides imminent steps towards safer and more efficient realization.

翻译：人工智能与机器人技术的研究与实施已进入建筑、工程与施工行业，旨在积极提升项目在安全、生产力和质量等方面的效率与效益。然而，这种转变也要求对人工智能与机器人技术的伦理影响进行考量，因其可能对就业安全、隐私等方面产生负面影响。尽管如此，这一问题并未受到足够重视，尤其是在学术界。本研究系统梳理了过去五年建筑、工程与施工领域以伦理视角开展的人工智能与机器人技术研究。通过总结现有文献并基于其与建筑、工程与施工的相关性进行进一步筛选，本研究识别出九大关键伦理问题，即失业、数据隐私、数据安全、数据透明度、决策冲突、接受度与信任、可靠性与安全性、监控恐惧以及责任归属。此外，基于现有与伦理主题直接相关的建筑、工程与施工研究，本研究还归纳出十三个研究议题，并进一步探讨了其与伦理问题的对应关系。最后，本文深入剖析了当前面临的挑战与知识空白，并提出了七项具体未来研究方向。本研究不仅提升了利益相关方对这一重要议题的认知，还为迈向更安全、更高效的实践提供了迫在眉睫的实施路径。