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疫情应对前线的人工智能与机器人技术:智能城市中技术应用的监管模式及韧性组织的发展

Artificial intelligence and robotics on the frontlines of the pandemic response: the regulatory models for technology adoption and the development of resilient organisations in smart cities.

作者信息

Lauri Cristiana, Shimpo Fumio, Sokołowski Maciej M

机构信息

European University Institute, Fiesole, Italy.

University of Macerata, Macerata, Italy.

出版信息

J Ambient Intell Humaniz Comput. 2023 Mar 1:1-12. doi: 10.1007/s12652-023-04556-2.

DOI:10.1007/s12652-023-04556-2
PMID:37360781
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9977099/
Abstract

Smart cities do not exist without robotics and Artificial Intelligence (AI). As the case of the COVID-19 pandemic shows, they can assist in combating the novel coronavirus and its effects, and preventing its spread. However, their deployment necessitate the most secure, safe, and efficient use. The purpose of this article is to address the regulatory framework for AI and robotics in the context of developing resilient organisations in smart cities during the COVID-19 pandemic. The study provides regulatory insights necessary to re-examine the strategic management of technology creation, dissemination, and application in smart cities, in order to address the issues regarding the strategic management of innovation policies nationally, regionally, and worldwide. To meet these goals, the article analyses government materials, such as strategies, policies, legislation, reports, and literature. It also juxtaposes materials and case studies, with the help of expert knowledge. The authors emphasise the imminent need for coordinated strategies to regulate AI and robots designed for improving digital and smart public health services globally.

摘要

没有机器人技术和人工智能(AI),智慧城市就不存在。正如新冠疫情所示,它们可以协助抗击新型冠状病毒及其影响,并防止其传播。然而,它们的部署需要最安全、可靠和高效地使用。本文的目的是探讨在新冠疫情期间,在智慧城市中发展有韧性的组织的背景下,人工智能和机器人技术的监管框架。该研究提供了必要的监管见解,以便重新审视智慧城市中技术创造、传播和应用的战略管理,从而解决国家、地区和全球层面创新政策战略管理方面的问题。为实现这些目标,本文分析了政府文件,如战略、政策、立法、报告和文献。作者还借助专家知识,将这些文件与案例研究并列比较。作者强调,迫切需要制定协调战略,以监管旨在改善全球数字和智能公共卫生服务的人工智能和机器人。

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