Estratégia Brasileira de Inteligência Artificial

Start date :2021
End date :
Name of responsible governmental body :
  • Ministry of Science, Technology, and Innovations (MCTI;Ministério da Ciência, Tecnologia e Inovações)
Description :
  • The EBIA assumes the role of guiding the actions of the Brazilian State in favor of the development of actions, in its various aspects, that stimulate research, innovation, and development of solutions in Artificial Intelligence, as well as its conscious, ethical, and in favor of a better future use.
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  • The EBIA is based on five principles defined by the OECD for responsible management of AI systems, namely: (i) inclusive growth, sustainable development and well-being; (ii) human-centred values and fairness; (iii) transparency and explainability; (iv) robustness, security and safety; and (v) accountability.
  • Contribute to the development of ethical principles for responsible development and use of AI.
    Promote sustained investment in AI research and development.
    To remove barriers for AI innovation.
    Enable and educate professionals for the AI ecosystem.
    Stimulate innovation and development of Brazilian AI in an international environment.
    Promote an environment of cooperation among public and private entities, industry and research centers for the development of Artificial Intelligence.
  • General benefits of EBIA:
    It assists development and improvement of policies, AI governance structures, AI policy monitoring models, and dissemination and sharing of tools and techniques across countries.
    It helps Brazil to benefit from the strengthening of a network of public policies in other countries, elements for comparing and evaluating the most successful practices, and obtaining inputs for management through evidence, business generation, and scientific research.
    It supports efforts for cultural change in public power data governance, with social and economic benefits arising from transparency and cooperation best practices.
    The document also includes the standardization of important terms for sharing principles, guides and manuals on international scale, contributing to the country's dialogue with others.
    It is highlighted the importance given to establishment of coherent and coordinated public policies that encourage innovation, promotion of trust, and construction of a responsibility culture in the Artificial Intelligence ecosystem.
    Furthermore, data have an increasing value in the digital economy, with positive externalities arising from its use, subject to restrictions that should guide policies and practices in accessing and sharing data, which seem to be adequately reflected in the instrument.
OECD AI principle adressed:
  • Human-centred values and fairness
  • Transparency and explainability
  • Investing in AI R&D
  • Fostering a digital ecosystem for AI
  • Providing an enabling policy environment for AI
  • Building human capacity and preparing for labour market transition
  • International co-operation for trustworthy AI
Relevant policy area covered:
  • Defence
  • Education
  • Employment
  • Industry and entrepreneurship
  • Innovation
  • Public governance
  • Science and technology
Related to a theme:
Estimated budget expenditure (range per year):
  • Not applicable
Background including shifts in the policy initiative:
  • The EBIA is part of a series of technology-related initiatives that have been implemented in Brazil during the past years, including the Brazilian Strategy for Digital Transformation (E-Digital), and General Data Protection Law (LGPD), amongst others. After two years of a public consultation that gathered around 1000 contributions, as well as a consultancy in AI hired by the Federal Government, the Brazilian AI Strategy was released. It was the first federal strategy which focused specifically on AI, and it intends to be the main framework directing other initiatives and strategies to be released in this topic in the near future.
Policy initiative is a structural reform:
  • No
  • No
Link to evaluation or reports:
  • N.A
Funding from the private sector:
  • No
Type of evaluation:
  • N.A
Evaluation provides input to:
  • N.A
Evaluation performed by:
  • N.A
Policy instruments :

National strategies, agendas and plans

  • Type : National strategies, agendas and plans
  • Name in English : National AI Strategy of Brazil
  • Country : Brazil
  • Public access URL :
  • Strategy mainly prioritises : AI policy governance (e.g. vertical and horizontal coordination, evaluation) | Education and skills | Specific areas/sectors (e.g. new industrial policy, R&D targets for clean tech) | International cooperation on STI | Other | R&D intensity (e.g. GERD as a % of GDP)
  • - Other : AI application to the public sector
  • - Quantifiable target, Deadline : AI policy governance (e.g. vertical and horizontal coordination, evaluation): To guarantee the constant revision of the strategy, readjustment and reevaluation of the strtegy.
  • - Quantifiable target, Deadline : Education and skills: To improve digital literacy through capacity building (for all education levels) in digital technologies and AI.
  • - Quantifiable target, Deadline : International cooperation on STI: To adopt a proactive stance internationally, fostering discussions, initiatives and partnerships for AI in international bodies and fora.
  • - Quantifiable target, Deadline : Other: To use ethical AI to improve public sector efficiency. To implement AI usage in at least 12 federal public services until 2022.
  • - Quantifiable target, Deadline : R&D intensity (e.g. GERD as a % of GDP): To amplify the possibility for research, development, innovation and AI application through the allocation of direct resources and coordination of already existing initiatives.
  • - Quantifiable target, Deadline : Specific areas/sectors (e.g. new industrial policy, R&D targets for clean tech): To foster public-private partnerships and collaborate in network to implement AI in "productive sectors", such as auto industry, health, logistics, financial institutions, agriculture, foreign trade, transportation, etc.
  • Societal challenge(s) emphasised : Inclusiveness (e.g. inequality, job insecurity)
  • Implementation mechanism : Action plan | Periodic monitoring and/or evaluation of progress

Public consultations of stakeholders or experts

  • Type : Public consultations of stakeholders or experts
  • Name in English : Consulta Pública - EBIA
  • Country : Brazil
  • Public access URL :
  • Coordinating institution name : Federal Government
  • Consultation process start date : 2019-12-01
  • Consultation process end date : 2020-03-01
  • Type(s) of stakeholders : Business | Academia | Civil society | Technical community
  • Stakeholders contribute to : Policy objective formulation | Policy design
  • Method : Online survey
  • Number of participants : More than 500

AI co-ordination and/or monitoring bodies

  • Type : AI co-ordination and/or monitoring bodies
  • Name in English :
  • Country : Brazil
  • Public access URL :
  • Function : Co-ordination
  • Description of changes in institutional arrangements : Reform of governance structure or public body
  • Type of coordinating or monitoring body : Ad-hoc working group or network of representatives
  • Reports to : Ministry
  • As mechanisms, the coordination body and/or monitoring body : Provides opportunities for ministries and/or public bodies to meet | Monitors/measures the implementation of AI policy
  • Sectors of public administration involved : Science, technology and innovation | Economic affairs | Education
  • The coordination or monitoring body is composed of : Government representatives | Academia representatives | Business representatives | Civil society representatives
  • Degree of coordination in implementing strategy (select the highest that applies) : 1- Strategy communicated to public bodies | 2- Public bodies are expected to plan activities based on strategy
  • Discussions or reports are publicly available : Yes

AI skills and education

  • Type : AI skills and education
  • Name in English :
  • Country : Brazil
  • Type(s) of AI capacity building activity(ies) : Apprenticeships and vocational programmes | Publicly provided adult learning AI-related courses
  • Workforce transition programmes : Programmes for the development of job-relevant skills in the area of AI
Last updated : Sep 6, 2022
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