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Perspective

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

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School of Architecture and Built Environment, Queensland University of Technology, 2 George Street, Brisbane QLD 4000, Australia
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School of Technology, Federal University of Santa Catarina, Campus Universitario, Trindade, Florianópolis, SC 88040-900, Brazil
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Bisite Research Group, University of Salamanca, 37007 Salamanca, Spain
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Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
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Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
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High Performance Computing Center, King Abdulaziz University, Al Ehtifalat St, Jeddah 21589, Saudi Arabia
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Department of Economics and Finance, Hong Kong Shue Yan University, 10 Wai Tsui Cres, North Point, Hong Kong, China
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School of Public Affairs, Arizona State University, 411 North Central Avenue, Phoenix, AZ 85004, USA
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School of Management, Queensland University of Technology, 2 George Street, Brisbane QLD 4000, Australia
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Author to whom correspondence should be addressed.
J. Open Innov. Technol. Mark. Complex. 2021, 7(1), 71; https://doi.org/10.3390/joitmc7010071
Received: 28 January 2021 / Revised: 15 February 2021 / Accepted: 20 February 2021 / Published: 24 February 2021
The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes. View Full-Text
Keywords: responsible innovation; responsible urban innovation; artificial intelligence (AI); responsible AI; local government AI; AI revolution; urban technology; urban policy; community engagement; smart city responsible innovation; responsible urban innovation; artificial intelligence (AI); responsible AI; local government AI; AI revolution; urban technology; urban policy; community engagement; smart city
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MDPI and ACS Style

Yigitcanlar, T.; Corchado, J.M.; Mehmood, R.; Li, R.Y.M.; Mossberger, K.; Desouza, K. Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda. J. Open Innov. Technol. Mark. Complex. 2021, 7, 71. https://doi.org/10.3390/joitmc7010071

AMA Style

Yigitcanlar T, Corchado JM, Mehmood R, Li RYM, Mossberger K, Desouza K. Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7(1):71. https://doi.org/10.3390/joitmc7010071

Chicago/Turabian Style

Yigitcanlar, Tan, Juan M. Corchado, Rashid Mehmood, Rita Y.M. Li, Karen Mossberger, and Kevin Desouza. 2021. "Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda" Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 71. https://doi.org/10.3390/joitmc7010071

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