Is artificial intelligence a trustworthy route navigation system for smart urban planning?
Is artificial intelligence a trustworthy route navigation system for smart urban planning?
Author(s): Karima KOURTIT, Peter NIJKAMP, John Osth, Umut TürkSubject(s): Politics / Political Sciences, Economy, Geography, Regional studies, Applied Geography, Governance, ICT Information and Communications Technologies
Published by: Editura Universităţii »Alexandru Ioan Cuza« din Iaşi
Keywords: artificial intelligence; city intelligence; data quality; information systems; subjective content; smart cities; urban XXQ production function;
Summary/Abstract: In the age of smart or intelligent cities, the use of Artificial Intelligence (AI) presents aspectrum of new opportunities and challenges for both the research and policycommunity. The present study explores the intricate interplay between AI-generatedcontent and actual choice spectra in urban planning. It focuses on the concept of 'cityintelligence' and related AI concepts, underscoring the pivotal role of AI in addressingand understanding the quality of life in contemporary urban environments. As AIcontinues its transformative impact on communication and information systems in therealm of urban planning, this study brings to the forefront key insights into the challengesof validating AI-based information. Given the inherently subjective nature of AIgenerated content, and its influential role in shaping user-perceived value, AI will mostlikely be a game changer catalyzing enhancements in the urban quality of life andinducing favorable urban developments. Additionally, the study also addresses thesignificance of the so-called ‘Garbage-in Garbage-out’ (GiGo) principle and ‘Bullshitin Bullshit out’ (BiBo) principle in validating AI-generated content, and seeks to enhanceour understanding of the spatial information landscape in urban planning by introducingthe notion of an urban ‘XXQ’ performance production function.
Journal: Eastern Journal of European Studies
- Issue Year: 15/2024
- Issue No: 2
- Page Range: 30-47
- Page Count: 18
- Language: English