A Iniciativa 6.9 prevê a experimentação de 10 projetos em Inteligência Artificial via Núcleo de IA. Como garantir que o histórico desses projetos não se perca entre gestões

Registrado no SIAEF, cada projeto vira item permanente do grafo, com URL estável, resistindo a mudanças de gestão ou de portal — diferente de páginas institucionais que somem ao longo do tempo.

Axis 2: Diffusion, Training, and Qualification
AI Diffusion and Dissemination Program
• Action 14: AI Diffusion, Dissemination, and Digital Literacy
Comprehensive action for digital literacy and AI dissemination, aiming to popularize technological 
fundamentals, transparency, everyday applications, risks, and citizens’ rights. Includes the 
Brazilian AI Olympiad.
» Challenge: to increase the knowledge, engagement, and social inclusion of the Brazilian 
population regarding AI.
» Expected impacts: increase in interest and understanding of AI among youth and in the 
general population; improvement in scientific education; and more conscious and responsible 
use of technology.
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AI Training Program
• Action 15: Interdisciplinary Laboratories for Educator Training (Lifes)
Creation and expansion of Lifes for teacher training in AI literacy and the pedagogical use of AI.
» Challenge: to promote the qualification of teachers for the pedagogical use of AI.
» Expected impacts: teachers more prepared to address AI topics in the classroom; and training 
of a more qualified workforce for the future.
• Action 16: AI in Undergraduate Education
Creation of undergraduate courses in AI and related fields; stimulus for the creation of elective subjects in 
programming, data science, and AI; and offering of AI-focused vacancies in the Student Financing Fund (Fies).
» Challenge: to expand training in AI and related disciplines across all undergraduate courses.
» Expected impacts: increase in the number of professionals with AI training; and greater 
integration of AI into various areas of knowledge.
• Action 17: AI Scholarships for Undergraduate and Postgraduate Education
Scientific initiation, master’s, and doctoral scholarships for scientific initiation, master’s, and doctoral 
studies in AI, with competitive values for talent training, attraction, and retention.
» Challenges: to increase the supply of highly qualified AI professionals in Brazil and reduce the 
gap between academia and industry.
» Expected impacts: increase in the quantity and quality of AI research; highly qualified 
researchers; AI applications with direct benefits for society in strategic areas. 
• Action 18: AI Doctoral Scholarships Abroad
Doctoral scholarships abroad in the field of artificial intelligence to expand international 
partnerships in AI research.
» Challenge: to expand international partnerships in AI research.
» Expected impacts: doctors with international experience in AI; strengthening of international 
research collaboration networks; greater quality and visibility of Brazilian AI research.
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Brazilian Artificial Intelligence Plan
AI Qualification, Skills, and Requalification Program
• Action 19: Professional Qualification in AI
National platform of online AI qualification courses, as well as in-person qualification courses via 
internships in companies.
» Challenge: to increase the supply of qualified professionals in specific AI areas.
» Expected impacts: increase in the supply of qualified AI professionals; reduction of training 
gaps in AI skills in the industrial sector; and contribution to the realization of the NIB missions.
• Action 20: AI for Education and Work
Multi-institutional initiative for AI training and qualification, with intensive use of experimental environments.
» Challenge: to increase the supply of qualified AI professionals in Brazil.
» Expected impacts: greater supply of qualified AI professionals; greater competitiveness of 
Brazilian companies; promotion of innovation and entrepreneurship.
• Action 21: ICT-AI Residency
Technological training and qualification in AI, in partnership with the private sector (internships in companies).
» Challenge: to increase the supply of professionals in ICTs with a focus on AI.
» Expected impact: increase in the supply of qualified AI professionals, meeting market demand 
and contributing to the competitiveness of the Brazilian industry and ICT ecosystem.
Axis 3: AI for Improving Public Services
Federal Government AI Core
• Action 22: Government Artificial Intelligence Platform
Government AI platform with an approach based on the context and strategy of the federal 
public administration.
» Challenges: to develop, train, and deploy AI models for the government.
» Expected impacts: elaboration of integration standards; interoperability; availability of 
emerging technologies; and operation of AI projects.
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• Action 23: AI Project Prospecting and Structuring
Establishment of a methodology for the prospecting and structuring of strategic AI-related projects 
within the government.
» Challenges: to identify and structure strategic AI projects in the government.
» Expected impacts: identification of opportunities for the structuring and application of AI 
solutions in the public sector; and improvement in the quality and efficiency of public services.
• Action 24: Experimentation of AI Projects in the Government
Development of AI pilot projects in the federal government to assess viability, risks, and benefits, before 
large-scale implementation.
» Challenge: to evaluate the viability and impact of experimental AI projects before large-scale 
application.
» Expected impact: better foundation for the decision to advance to large-scale AI project 
development, reducing project risk.
• Action 25: Monitoring of AI Development and Use
System for collecting and analyzing data on AI projects in the federal government to obtain an integrated 
view of their adoption and development.
» Challenge: to obtain an integrated view of the progress of AI adoption in the federal government.
» Expected impacts: evaluation of the pace of AI solution adoption; and identification of 
problems faced and technologies used.
• Action 26: Qualification of Public Servants in AI
Qualification of federal public servants in AI to support the development and adoption of the technology 
in the government.
» Challenge: to qualify federal public servants to respond to the challenges of digital transformation 
and AI.
» Expected impacts: increase in the number of public servants capable of working with artificial 
intelligence; and efficient and quick delivery of services to the population.