Limits In the use of artificial intelligence: recruitment and selection personnel

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Bol The accelerated use of artificial intelligence in recruitment and selection processes has transformed employment management, introducing automated systems capable of filtering, evaluating and pre-selecting candidates. However, this technological innovation poses relevant legal challenges, especially in relation to the protection of the fundamental rights of workers and applicants.This book critically analyzes the legal and ethical limits of the use of artificial intelligence in the labor field, with emphasis on the risks of algorithmic discrimination, decisional opacity and violation of the principle of equality and non-discrimination. From a labor law, constitutional and comparative approach, the book examines emblematic cases of the use of algorithms in personnel selection, as well as the biases inherent to automated data and models.It also studies the Peruvian regulatory framework and international regulatory trends, incorporating principles of algorithmic governance, transparency, explainability and accountability as key tools to make technological innovation compatible.

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The accelerated use of artificial intelligence in recruitment and selection processes has transformed employment management, introducing automated systems capable of filtering, evaluating and pre-selecting candidates. However, this technological innovation poses relevant legal challenges, especially in relation to the protection of the fundamental rights of workers and applicants.This book critically analyzes the legal and ethical limits of the use of artificial intelligence in the labor field, with emphasis on the risks of algorithmic discrimination, decisional opacity and violation of the principle of equality and non-discrimination. From a labor law, constitutional and comparative approach, the book examines emblematic cases of the use of algorithms in personnel selection, as well as the biases inherent to automated data and models.It also studies the Peruvian regulatory framework and international regulatory trends, incorporating principles of algorithmic governance, transparency, explainability and accountability as key tools to make technological innovation compatible.

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Pagina's: 132, Paperback, Our Knowledge Publishing


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