Aplicações de inteligência artificial em entidades fechadas de previdência complementar

Abstract

Artificial intelligence is a branch of science that studies human intelligence and tries to simulate it in machines. In this context, this research aimed to investigate how closed private pension entities (EFPC) use artificial intelligence in their activities. Therefore, bibliographical research was carried out based on scientific articles, websites and publications of the EFPC and other types of social security or insurance institutions and other companies directly related to the subject of artificiul intelligence. The research had a qualitative approach, being descriptive in relation to the objectives and bibliographical in relation to the technical procedures. An initial information gathering was carried out considering the terms "EFPC", "artificial intelligence" and "machine learning" and then, sources were sought that dealt with the effective use of the technologies mentioned by the EFPC and how the issue has been address by Brazilian standards. The research had a qualitative approach, being descriptive in relation to the objectives and bibliographical in relation to the technical procedures. An initial survey wns cnrried out considering the tem. "EFPC", "artificial intelligence" and "machine learning" and then sources were sought that dealt with the effective use of the technologies mentioned by the EFFC and how the theme has been addressed by Brazilian standards. Among the main findings, it was found that the use of artificial intelligence in EFFC is still primary in Brazil and, in general, is concentrated in activities related to attending participants and through the use of investor robots. Nevertheless, it was identified that actuarial consulting and auditing company provides the servisse of performing predictive analysis through artificial intelligence techniques to the EFPC. In the insurance area, in general, it was found that actuaries already use machine learning to create predictive models and calculations related to regression calculations, pricing calculations and the development of predictive models. This research aims to spread knowledge regarding the use of AI by the Brazilian EFPC, in addition to instigating the interest of students, EFPC professionals and actuaries to understand the benefits of using AI in activities related to Actuarial Sciences. However, it is noteworthy that the research carried out had limitations in relation to access to information about the types of technologies used internally by the EFPC.