{"title":"A starting framework for urban AI applications","authors":"Mennatullah Hendawy , Lamiaa Ghoz","doi":"10.1016/j.asej.2024.102987","DOIUrl":null,"url":null,"abstract":"<div><div>There has been a growing concern about the ethical implications of Artificial Intelligence (AI) in urban environments. Scholars have highlighted the dual nature of AI, which can both enhance urban sustainability and pose significant privacy risks. The literature acknowledges that AI introduces specific challenges in urban contexts. However, there remains a gap in comprehensive sector-specific ethical frameworks tailored to the unique challenges posed by AI applications in cities. This study aims to fill this gap by proposing a starting framework for the ethics of Urban AI applications, providing principles to guide responsible AI development and deployment in urban settings. The study employed a two-phase methodology: a content analysis of 100 AI ethics documents to develop a preliminary framework, followed by a survey of experts and stakeholders to validate and expand this framework by identifying urban-specific risks and ethical considerations. The developed ethical framework for Urban AI applications provides a starting point to pave the way for ethical and sustainable urban AI systems that enhance the quality of life for all city residents.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 102987"},"PeriodicalIF":6.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447924003629","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
There has been a growing concern about the ethical implications of Artificial Intelligence (AI) in urban environments. Scholars have highlighted the dual nature of AI, which can both enhance urban sustainability and pose significant privacy risks. The literature acknowledges that AI introduces specific challenges in urban contexts. However, there remains a gap in comprehensive sector-specific ethical frameworks tailored to the unique challenges posed by AI applications in cities. This study aims to fill this gap by proposing a starting framework for the ethics of Urban AI applications, providing principles to guide responsible AI development and deployment in urban settings. The study employed a two-phase methodology: a content analysis of 100 AI ethics documents to develop a preliminary framework, followed by a survey of experts and stakeholders to validate and expand this framework by identifying urban-specific risks and ethical considerations. The developed ethical framework for Urban AI applications provides a starting point to pave the way for ethical and sustainable urban AI systems that enhance the quality of life for all city residents.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.