An academic space that promotes, studies and supports the responsible and effective integration of Artificial Intelligence in public management in Latin America and the Caribbean.
To actively contribute to improving government decision-making, optimizing the operational efficiency of public institutions, and increasing the quality and accessibility of citizen services, always from an ethical, humanistic and regionally relevant perspective.
We ask ourselves not only what AI can do, but what it should do to preserve human dignity and democratic values.
We generate solid evidence on the application of AI in public policies to guide innovation in the sector.
We focus on trends and opportunities for improvement in Latin America and the Caribbean.
Development of studies on specific cases and comparative analyses of the use of AI in governments.
Training programs for public officials and private sector professionals.
Creation of prototypes and AI-based technological solutions for public institutions.
Development of ethical and regulatory frameworks for the transparent adoption of AI.
Creating spaces for informed public debate on AI in the public sector.
Challenges and opportunities in the adoption of AI in the structures of the Executive, Legislative and Judicial branches.
AI adoption mechanisms for institutional knowledge management and effective decision-making.
Challenges and opportunities in the adoption of AI for educational performance and safe implementation in classrooms.
AI adoption pathways for efficient, effective, and scalable public policies with rigorous evaluation.
Ethical and regulatory frameworks that ensure the full realization of the person in the face of new AI applications.
Implications of the use of AI in the protection of fundamental rights and guarantees in democratic contexts.
Our main areas of action to promote the responsible adoption of AI in the public sector.
To systematically document and analyze public policies, regulations, and international experiences of AI adoption in the public sector.
Generate applicable knowledge products such as reports, policy briefs and trend reports that guide state innovation.
Build and maintain a regional library of AI use cases in government, with specific evaluation criteria and recommendations.
Promote spaces for dialogue between the public sector, academia, and the entrepreneurial ecosystem to catalyze joint solutions.
Design and implement technical and strategic training programs for public officials, in partnership with experts from the academic and technological ecosystem.
Promote the formulation of ethical, regulatory and governance frameworks for the application of emerging technologies.
To offer technical advisory services in the design, implementation and evaluation of AI solutions for State institutions.
To create a leading regional community in AI and government, communicating the advances in the field in an accessible way.
We focus on studying, applying and promoting real cases of successful AI adoption in the public sector, an emerging and little-explored field in the region.
We combine technical expertise from specialists with practical and regulatory knowledge from government officials and public policy developers.
We offer a humanist perspective that asks not only what AI can do, but what it should do to preserve human dignity and democratic values.
A multidisciplinary team committed to research and development of AI solutions for the public sector.

Director

Executive Secretary

Academic secretary

Coordinator of the Commission for Institutional Use of AI

Coordinator of the AI and Public Management Commission
A catalyst for innovation and collaboration that establishes a solid bridge between technology companies, sponsors and the IAG Observatory.
It ensures a solid financial foundation for cutting-edge research and innovative projects.
Build a dynamic network that unites key players from the public and private sectors.
A central hub for learning and discussion about AI and government.
Development of AI solutions that optimize government processes.















