From data to deployment: training to avoid bias and hidden biases in AI adoption
In recent years, artificial intelligence (AI) has been widely and naturally incorporated both in people's daily lives and in the productive fabric, notably increasing its participation in decision-making processes and, in some cases, even taking decisions autonomously in areas as sensitive as labour recruitment, justice, education or healthcare.