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329R_Artificial intelligence and the local government: A five-decade scientometric analysis on the evolution, state-of-the-art, and emerging trends (research summary)
Our summary today works with the article titled Artificial intelligence and the local government: A five-decade scientometric analysis on the evolution, state-of-the-art, and emerging trends from 2024, by Tan Yigitcanlar, Sajani Senadheera, Raveena Marasinghe, Simon Elias Bibri, Thomas Sanchez, Federico Cugurullo, and Renee Sieber, published in the Cities journal.
This is a great preparation to our next interview with Thomas Sanchez in episode 330 talking about urban and technological evolution.
Since we are investigating the future of cities, I thought it would be interesting to see how AI is utilised in urban governance. This article investigates the evolution, current state and emerging trends of AI in local governments across 5 decades.
Find the article through this link.
Abstract: In recent years, the rapid advancement of artificial intelligence (AI) technologies has significantly impacted various sectors, including public governance at the local level. However, there exists a limited understanding of the overarching narrative surrounding the adoption of AI in local governments and its future. Therefore, this study aims to provide a comprehensive overview of the evolution, current state-of-the-art, and emerging trends in the adoption of AI in local government. A comprehensive scientometric analysis was conducted on a dataset comprising 7112 relevant literature records retrieved from the Scopus database in October 2023, spanning over the last five decades. The study findings revealed the following key insights: (a) exponential technological advancements over the last decades ushered in an era of AI adoption by local governments; (b) the primary purposes of AI adoption in local governments include decision support, automation, prediction, and service delivery; (c) the main areas of AI adoption in local governments encompass planning, analytics, security, surveillance, energy, and modelling; and (d) under-researched but critical research areas include ethics of and public participation in AI adoption in local governments. This study informs research, policy, and practice by offering a comprehensive understanding of the literature on AI applications in local governments, providing valuable insights for stakeholders and decision-makers.
Connecting episodes you might be interested in:
- No.259R - Lessons from nine urban areas using data to drive local sustainable development
- No.304 - Interview with Nick Bray about agentic AIs
You can find the transcript through this link.
What was the most interesting part for you? What questions did arise for you? Let me know on Twitter @WTF4Cities or on the wtf4cities.com website where the shownotes are also available.
I hope this was an interesting episode for you and thanks for tuning in.Episode generated with Descript assistance (affiliate link).
Music by Lesfm from Pixabay
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By Fanni MellesOur summary today works with the article titled Artificial intelligence and the local government: A five-decade scientometric analysis on the evolution, state-of-the-art, and emerging trends from 2024, by Tan Yigitcanlar, Sajani Senadheera, Raveena Marasinghe, Simon Elias Bibri, Thomas Sanchez, Federico Cugurullo, and Renee Sieber, published in the Cities journal.
This is a great preparation to our next interview with Thomas Sanchez in episode 330 talking about urban and technological evolution.
Since we are investigating the future of cities, I thought it would be interesting to see how AI is utilised in urban governance. This article investigates the evolution, current state and emerging trends of AI in local governments across 5 decades.
Find the article through this link.
Abstract: In recent years, the rapid advancement of artificial intelligence (AI) technologies has significantly impacted various sectors, including public governance at the local level. However, there exists a limited understanding of the overarching narrative surrounding the adoption of AI in local governments and its future. Therefore, this study aims to provide a comprehensive overview of the evolution, current state-of-the-art, and emerging trends in the adoption of AI in local government. A comprehensive scientometric analysis was conducted on a dataset comprising 7112 relevant literature records retrieved from the Scopus database in October 2023, spanning over the last five decades. The study findings revealed the following key insights: (a) exponential technological advancements over the last decades ushered in an era of AI adoption by local governments; (b) the primary purposes of AI adoption in local governments include decision support, automation, prediction, and service delivery; (c) the main areas of AI adoption in local governments encompass planning, analytics, security, surveillance, energy, and modelling; and (d) under-researched but critical research areas include ethics of and public participation in AI adoption in local governments. This study informs research, policy, and practice by offering a comprehensive understanding of the literature on AI applications in local governments, providing valuable insights for stakeholders and decision-makers.
Connecting episodes you might be interested in:
- No.259R - Lessons from nine urban areas using data to drive local sustainable development
- No.304 - Interview with Nick Bray about agentic AIs
You can find the transcript through this link.
What was the most interesting part for you? What questions did arise for you? Let me know on Twitter @WTF4Cities or on the wtf4cities.com website where the shownotes are also available.
I hope this was an interesting episode for you and thanks for tuning in.Episode generated with Descript assistance (affiliate link).
Music by Lesfm from Pixabay