AI models for ranking candidates to a job position are increasingly adopted. They bring a new layer of opaqueness in the way candidates are evaluated. We present preliminary research on stakeholder analysis and requirement elicitation for designing an explainability component in AI models for ranking candidates to a job position.
Requirements of eXplainable AI in Algorithmic Hiring
Andrea Beretta;Gianmario Ercoli;Alfonso Ferraro;Riccardo Guidotti;Andrea Iommi;Antonio Mastropietro;Anna Monreale;Daniela Rotelli
;Salvatore Ruggieri
2024-01-01
Abstract
AI models for ranking candidates to a job position are increasingly adopted. They bring a new layer of opaqueness in the way candidates are evaluated. We present preliminary research on stakeholder analysis and requirement elicitation for designing an explainability component in AI models for ranking candidates to a job position.File in questo prodotto:
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