Governança e inteligência artificial: ponderações sobre processos de recrutamento, seleção e contratação de trabalhadores

Abstract

This paper aims to analyze the challenges, risks and impacts observed in the corporate governance in companies that use in an incremental way artificial intelligence systems, focusing on the use in recruitment and selection processes for employment. The hypothesis is that even the fragmented use of AI systems presents risks, either to enhance business activity or to make robust decisions. The current state of the art in corporate governance is not capable of dealing with the scenario of effervescent development of artificial intelligence, especially given the fact that it is a subject which stills in the process of regulation. In this regard, the hypothetical deductive method is used, aiming to formulate hypotheses that align with the scope of the study and maintain the outlined objectives. A literature review and document analysis relevant to the topic are conducted, with bibliographic review and analysis of documents related to the scope, with emphasis on the provisions of Bill 2.338/2023 on high-risk systems and governance issues and good practices, notes on the provisions brought by the General Law on Personal Data Protection at national level, as well as the New York City Local Legislation 144/2021. Furthermore, considerations are made regarding a case of incidence of algorithmic bias with discriminatory character occurred in the multinational company Amazon. Finally, the conclusion about the topic is exposed, considering the objectives, hypothesis and methodology used.