Is artificial intelligence a trustworthy route navigation system for smart urban planning?

Karima Kourtit (), Peter Nijkamp (), John Östh () and Umut Türk ()
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Karima Kourtit: Alexandru Ioan Cuza University of Iasi, Romania
Peter Nijkamp: Alexandru Ioan Cuza University of Iasi, Romania
John Östh: Oslo Metropolitan University, Norway
Umut Türk: Abdullah Gül University, Turkyie

Eastern Journal of European Studies, 2024, vol. 15(2), 30-47

Abstract: In the age of smart or intelligent cities, the use of Artificial Intelligence (AI) presents a spectrum of new opportunities and challenges for both the research and policy community. The present study explores the intricate interplay between AI-generated content and actual choice spectra in urban planning. It focuses on the concept of 'city intelligence' and related AI concepts, underscoring the pivotal role of AI in addressing and understanding the quality of life in contemporary urban environments. As AI continues its transformative impact on communication and information systems in the realm of urban planning, this study brings to the forefront key insights into the challenges of validating AI-based information. Given the inherently subjective nature of AI-generated content, and its influential role in shaping user-perceived value, AI will most likely be a game changer catalyzing enhancements in the urban quality of life and inducing favorable urban developments. Additionally, the study also addresses the significance of the so-called 'Garbage-in Garbage-out' (GiGo) principle and 'Bullshit-in Bullshit-out' (BiBo) principle in validating AI-generated content, and seeks to enhance our understanding of the spatial information landscape in urban planning by introducing the notion of an urban 'XXQ' performance production function.

Keywords: artificial intelligence; city intelligence; data quality; information systems; subjective content; smart cities; urban XXQ production function (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:jes:journl:y:2024:v:15(2):p:30-47

DOI: 10.47743/ejes-2024-0203

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