Artificial Intelligence for Job Seeking : How to Enhance Labor Intermediation in Public Employment Services

One of the main challenges of employment services -in particular labor intermediation systems- is to facilitate the adequate matching between the required skills in open vacancies and those that job seekers have. This challenge stems in part from the difficulty of matching the skills, competencies, education, and job experience that a candidate reports to have, with the functions the potential employer wants to assign to this prospect employee. This technical paper focuses on how artificial intelligence (AI) can be used as a tool to enhance the matching approach, to the extent of considering the existing relations in various occupations, which can include more information in the analysis of the profiles of job candidates. This document is part of the fAIr LAC initiative studies of the Inter-American Development Bank (IDB). Its objective is to promote the ethical and responsible use of technology in artificial intelligence-based systems in the region, especially those that relate to the provision of social services.

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Inteligencia artificial, Servicios de empleo, Intermediación, Empleo, Políticas públicas
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