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Pacific Asia Journal of the Association for Information Systems

Abstract

Background: In the context of a developing nation, children's participation in communal life is almost non-existent. The goal of the study is to contribute to national policies for local development that should prioritize the safety and well-being of the most vulnerable populations, particularly children under the age of 18. Innovating, including children in decision-making and maintaining local services in three pilot municipalities in order to prevent and combat all forms of exploitation to which they are exposed. How can Youth engagement in social and political community life be improved through better understanding of their needs and interests, and what are the artificial intelligence implications?

Method: The methodology was used and designed to re-validate an existing program using pre-defined components of an agreement between the Italian and Lebanese governments. A needs study on the socio-demographic profile of youth and a situational analysis was conducted answering three objectives in the program of the Child Friendly City initiative.

Results: Assuring the long-term viability and social inclusion of a significant socio-demographic group was successfully implemented: a free call center, software applications, a library, a digital network center, and the involvement of children on the municipal board of directors were established. The findings need to be adapted to various locations using artificial intelligence (AI) solutions and strategies for social awareness and behavior analysis.

Conclusion: The importance of this study was underscored during the Covid-19 sanitary crisis, when some of these technologies enabled young people in impacted areas to integrate and become aware of the pandemic's risk. The case was based on theories such as Gender Inequalities and Children's Inclusion, Municipal Governance & Reform, Organizational Innovation (Public Sector), and Social Inclusion, and it demonstrates the value of innovating in the public sector and protecting vulnerable populations through the use of AI.

DOI

10.17705/1pais.14304

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