Beyond ‘smart-only’ cities: redefining the ‘smart-everything’ paradigm

Streitz, Norbert A.

doi:10.1007/s12652-018-0824-1

Cited by 75 publications

(42 citation statements)

References 21 publications

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“…AI can be used to identify irregular behavior, determine what is a threat and implement mitigation measures at speeds beyond that of human ability [83,100]. This together with encryption technologies such as blockchain [100], and a focus on data security at all levels of design [131], can alleviate individual concerns regarding data security and contribute to increased transparency and trust regarding online systems [83,141]. This would allow increased avenues for citizen engagement in policy decisions and citizen scientist engagement with policy development via crowdsourcing [163], along with other online services such as electronic voting [141] and smart contracts [115].…”

Section: Ai In the Governance Dimension Of Smart Citiesmentioning

confidence: 99%

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Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

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Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

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Section: Ai In the Governance Dimension Of Smart Citiesmentioning

confidence: 99%

“…Society KB n/a n/a Smart Health Streitz [131] Beyond 'smart-only' cities: redefining the 'smart-everything' paradigm…”

Section: Intelligence In Medicinementioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

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“…Smart cities are one of the richest and most complex scenarios for smart environment (if not already the most complex) [86,87]. It crosses several domains including the environment, economy, mobility, energy, planning, governance among others (see Fig.…”

Section: Smart Citymentioning

confidence: 99%

Internet of Things for enabling smart environments: A technology-centric perspective

Gómez

Chessa

Fleury

et al. 2019

AIS

115

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The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are augmented with computational and wireless communication capabilities, typically through the incorporation of resource-constrained devices including sensors and actuators, which enable their connection to the Internet. The IoT is seen as the key ingredient for the development of smart environments. Nevertheless, the current IoT ecosystem offers many alternative communication solutions with diverse performance characteristics. This situation presents a major challenge to identifying the most suitable IoT communication solution(s) for a particular smart environment. In this paper we consider the distinct requirements of key smart environments, namely the smart home, smart health, smart cities and smart factories, and relate them to current IoT communication solutions. Specifically, we describe the core characteristics of these smart environments and then proceed to provide a comprehensive survey of relevant IoT communication technologies and architectures. We conclude with our reflections on the crucial features of IoT solutions in this setting and a discussion of challenges that remain open for research.

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“…The first paper, "Beyond 'smart-only' cities: redefining the 'smart-everything' paradigm" by Streitz (2018), is a conceptual position paper that raises fundamental questions about smart environments and Internet of Things in Smart Cities, and provides some very interesting answers to them in terms of a human-and citizen-centered design approach. It covers prominent challenges, vision and issues for future smart cities, which can serve as an overarching standpoint of the special issue.…”

Section: Contribution Of Special Issuementioning

confidence: 99%

“…In the last decade, AmI has evolved from pure technology-enhanced provisioning of services in ambient environments to user-centric capabilities provisioned, personalized and tailored to users' preferences and needs (Bernardos et al 2015). The paradigm shift has further evolved and enhanced the physical ecosystems with artificial intelligence (and machine learning) capabilities (Streitz 2018) to make those environments autonomic with high-degree of automation, learning and adaptability in order to personalize offering of features and services that respond better to users' needs and preferences.…”

Section: Introductionmentioning

confidence: 99%

Special issue on “Recent advances in ambient intelligence towards a smart and human-centered internet of things”

Maña

Koshutanski²

2019

J Ambient Intell Human Comput

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Beyond ‘smart-only’ cities: redefining the ‘smart-everything’ paradigm

Cited by 75 publications

References 21 publications

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Internet of Things for enabling smart environments: A technology-centric perspective

Special issue on “Recent advances in ambient intelligence towards a smart and human-centered internet of things”

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