In the current environment, where artificial intelligence (AI) and machine learning are technological cornerstones, algorithms play a crucial role in a variety of processes, from candidate selection for jobs to credit approval. However, when algorithms exhibit bias, they can reinforce social inequalities and generate discriminatory outcomes. This type of bias is not only a technical challenge but also an ethical one, requiring developers to act responsibly and with awareness.

This article delves into the ongoing debate surrounding the future of work, framed as a juxtaposition between humans and robots. It explores the dual forces shaping the current labor landscape: rapid technological advancements and demographic changes. While these factors present opportunities for longer lives and improved quality of life, they also pose challenges, particularly in terms of skill gaps and the perceived threat of automation.