Name in original language
Trayectoria Formativa en IA (TFIA)
Initiative overview
The AI Learning Pathway was developed in response to a diagnostic conducted through the Public Innovation Capabilities Radar, which identified significant gaps in digital competencies across the Public Administration. The assessment revealed heterogeneous levels of digital literacy, challenges in data use and governance, and the persistence of manual processes with strong potential for improvement. At the same time, growing interest in Artificial Intelligence (AI) among public employees presented a strategic opportunity to strengthen institutional capacities and accelerate the State’s digital transformation through an ethical, evidence-based approach.
The initiative was designed as a strategic capacity-building intervention to reduce internal training gaps and provide accessible, profile-adapted learning opportunities. Its objectives are to equip public employees with both conceptual foundations and practical tools in AI, public data management, information security, and public-sector use cases; promote the ethical, strategic, and responsible adoption of emerging technologies; and foster cross-departmental collaboration while consolidating a culture oriented toward innovation and data-driven decision-making.
The program follows a blended format, combining asynchronous modules with in-person practical sessions, structured around four thematic pillars: Digital State and AI; Public Data and Decision-Making; Information Security; and AI Use Cases and Adoption. After initial editions reaching over 200 employees, the Pathway scaled to train more than 600 public officials, with the participation of specialists from both public and private sectors. Participant evaluations reported high satisfaction and strong relevance to day-to-day responsibilities, reinforcing the initiative’s institutional value.
Looking ahead, the initiative is evolving toward a second level focused on soft skills and organizational capabilities for AI integration. This phase emphasizes the design of adoption models for automation and augmentation, drawing on academic research on AI agents and human–AI collaboration. By institutionalizing training as a continuous, multi-level pathway, the program seeks to scale across government, embed AI competencies into long-term workforce development strategies, and ensure sustainable, responsible integration of AI into public administration.
