Inteligência artificial no recrutamento & seleção: inovação e seus impactos para a gestão de recursos humanos

Abstract

The study aimed to build a model to identify the benefits and functionalities in the use of Artificial Intelligence (AI), of the type Artificial Neuronal Network (ANN) multiple layers feedforward, applied in the process of recruitment and selection (R&S), of professionals of the position of sales technician, as a support system for decision making, to assist the Human Resources (HR) professional. This quantitative exploratory research used descriptive, inferential statistical techniques and the RNA model. Secondary data (14 technical attributes) were used in 800 CVs of individuals who applied for the position, from 2014 to 2018. The priority training algorithm was Bayesian Regularization; with activation functions Tangent Simoidal and Linear and architecture with two nodes in the hidden layer. Of the 800 individuals, 54.4% are male; 29.3% are aged between 24 and 29 years; 63.1% have 2nd. complete degree; 16.4% have up to 2 years of sales experience and 70.5% have no further training in sales. It was found that there is a difference in the average grades attributed to the CV by sex and that there is an association between the grade attributed to the CV and the length of experience. The model presented excellent results, in most cases the rating score of the curriculum attributed was equal to the target of the classification and the average absolute error was 0.292 points, on a scale of 1 to 10. The RNA applied to the R&S of that position reduces the time spent on the activity, facilitates the work of the HR professional and allows him to dedicate more time to the stages of analysis of behavioural skills, such as group dynamics and interviews. In addition, it facilitates communication between candidate and company, providing that feedback is given in a more agile way