Artificial Intelligence (AI) presents a unique opening to promote equality of opportunities and improve the quality of life of people of Latin America and the Caribbean. However, the responsible use of AI is essential and poses major challenges. In this work, sponsored by the IADB, we focus on the subset of challenges that are related to technical processes throughout the life cycle of AI as a decision-making/support system. Our objective is to set recommendations in order to avoid results that are contrary (and often unexpected) to the goals of decision makers. These goals are varied: they can refer to undesirable consequences from the point of view of decision makers, wasting of resources due to inadequate targeting or any other objective that the decision maker is seeking to achieve.