Smart cities: the future with Artificial Intelligence
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| Název: | Smart cities: the future with Artificial Intelligence |
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| Autoři: | Pradhan, Manas, Hasso, Hussein, Popescu, Adrian, Müller, Christian |
| Zdroj: | Meeting SDGs in Smart City Infrastructures Smart Cities. :151-189 |
| Témata: | Artificial Intelligence, Machine learning, Sustainable development goals, Smart cities, Interoperability, Federation, Governance |
| Popis: | Artificial Intelligence (AI) has become the latest technology disrupter that has the potential to dramatically change the nature of economy and sustainability in the decades to come. It is still in the nascent stage where wide spread adoption of AI methods including Machine Learning (ML), federated learning, unsupervised automation is still under the scrutiny for public sector adoption. As a foresight exercise, this chapter discusses the role of AI in cities. It provides an outlook on the use of AI in cities for city intelligence and their impact on Sustainable Development Goals (SDGs) as determined by the United Nations (UN). Use-cases, frameworks, and best practices for AI use in cities proposed by nations and international bodies are presented along with technical components that can enable AI adoption. Additionally, a detailed description of AI based techniques is provided to give a technical understanding of AI algorithms from academic and industry perspectives. The focus on data and federated components for discovery and interoperability enabling AI is presented to enable readers to build a vision for future connected urban AI ecosystems. Finally, concerns with the adoption of AI in the public sector are presented along with the conclusions of the chapter. |
| Popis souboru: | electronic |
| Přístupová URL adresa: | https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28893 https://doi.org/10.1016/b978-0-44-326594-5.00015-x |
| Databáze: | SwePub |
Nájsť tento článok vo Web of Science | Abstrakt: | Artificial Intelligence (AI) has become the latest technology disrupter that has the potential to dramatically change the nature of economy and sustainability in the decades to come. It is still in the nascent stage where wide spread adoption of AI methods including Machine Learning (ML), federated learning, unsupervised automation is still under the scrutiny for public sector adoption. As a foresight exercise, this chapter discusses the role of AI in cities. It provides an outlook on the use of AI in cities for city intelligence and their impact on Sustainable Development Goals (SDGs) as determined by the United Nations (UN). Use-cases, frameworks, and best practices for AI use in cities proposed by nations and international bodies are presented along with technical components that can enable AI adoption. Additionally, a detailed description of AI based techniques is provided to give a technical understanding of AI algorithms from academic and industry perspectives. The focus on data and federated components for discovery and interoperability enabling AI is presented to enable readers to build a vision for future connected urban AI ecosystems. Finally, concerns with the adoption of AI in the public sector are presented along with the conclusions of the chapter. |
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| DOI: | 10.1016/b978-0-44-326594-5.00015-x |