This paper examines AI projects in the public sector in Latin America to understand the role of citizens and private sector in designing and implementing artificial intelligence projects. Using a comparative case study methodology, the authors focus on the experience of EmpatIA, a program led by the Latin American Open Data Initiative. The paper uses a co-production typology to analyze each case study and provides key insights, including the importance of data quality and standardization, potential for internal process innovation, and knowledge transfer between public, non-profit, and private organizations. These insights provide valuable lessons for developing countries, particularly in Latin America.