Diseño de una herramienta basada en machine learning para toma de decisiones en los procesos de due diligence del derecho laboral

Abstract

Machine learning is a branch of artificial intelligence and was used as a model to generate the learning process applied to due diligence in labor law. Taking into account this premise, a previous investigation was carried out to collect the largest amount of information that leads to the solution, once this information was collected, the design of the model began. Generating a knowledge base (since it does not exist), and also an instrument that can be developed, implemented and tested, or used for future research. In short, a design for highly stable and evolutive project analysis was generated, capable of adapting and growing as it feeds on project data.