The standard way to evaluate predictive models is dominated by a simple idea: if prediction error decreases, the model is better. Metrics such as MSE or accuracy have become the standard in most industrial pipelines …

Suppose a government implements a new health policy aimed at reducing avoidable hospitalizations. A traditional evaluation might tell us that, on average, hospitalizations fall by 10%…

Which auction format—uniform-price or discriminatory—is more suitable for reducing the government’s financing cost?…

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…