¿Cuál formato de subasta, el uniforme o el discriminatorio, resulta más adecuado para reducir el costo de financiamiento del Estado?…

In recent years, the conversation about artificial intelligence and employment has been dominated by a substitution narrative: Which jobs will disappear? How many jobs will be replaced by algorithms? While this question is important, it has led us to view the future of work from a narrow perspective…

How should we understand the concept of developing Artificial Intelligence for the common good? This is a key question, which, according to philosopher Diana Acosta Navas, opens up two central dimensions: one philosophical and the other political…

In recent years, language models have transformed the way we interact with information. From virtual assistants to decision-support systems, these tools have become omnipresent…

In recent years, artificial intelligence models have demonstrated incredible potential to transform industries, from healthcare to finance. However, they have also exposed a troubling issue: algorithmic bias.

Machine learning models have become essential tools for decision-making in critical sectors such as healthcare, public policy, and finance. However, their practical application faces two major challenges: selection bias in the data and the proper quantification of uncertainty.