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<title>TRANSFORMING GOVERNMENT:</title>
<subTitle>AI AND PUBLIC CONTESTS: A MODEL TO IMPROVE THE EVALUATION AND SELECTION OF PUBLIC CONTEST CANDIDATES IN THE POLICE FORCE</subTitle>
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<name type="Personal Name" authority="">
<namePart>Mariana Bailao Goncalves, Maria Anastasiadou, Vitor Santos</namePart>
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<publisher>EMERALD INSIGHT</publisher>
<dateIssued>2022</dateIssued>
<issuance>monographic</issuance>
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<note>Purpose – The number of candidates applying to public contests (PC) is increasing compared to the
number of human resources employees required for selecting them for the Police Force (PF). This
work intends to perceive how those public institutions can evaluate and select their candidates
efficiently during the different phases of the recruitment process. To achieve this purpose, artificial
intelligence (AI) was studied. This paper aims to focus on analysing the AI technologies most used
and appropriate to the PF as a complementary recruitment strategy of the National Criminal
Investigation police agency of Portugal – Polícia Judiciaria.</note>
<subject authority=""><topic>Artificial intelligence, Sentiment analysis, Facia</topic></subject>
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