Brazil's AI education framework puts ethics before tools

Brazil's Ministry of Education (MEC) released its first official framework for Artificial Intelligence in education in March 2026, establishing a core principle: learning *about* AI must precede or accompany learning *with* AI. This policy signals a paradigm shift where human capacity and ethics take precedence over the mere adoption of technological tools.

01The Gap Between Adoption and Readiness

The urgency of this debate extends far beyond Brazil. Educational systems worldwide are integrating artificial intelligence at a pace that outstrips the policy frameworks needed to guide them. A recent World Economic Forum analysis of the transition across five countries indicates that the primary bottleneck to successful implementation is not technical access, but human readiness. When educators lack adequate time, training, and support, even the most promising tools fail to deliver meaningful results in practice. This diagnosis echoes global concerns regarding technology's impact on cognitive development. The UNESCO guidance on generative AI in education and research, originally published in 2023 and reinforced in recent dialogues, warns that technology should support, rather than replace, human decision-making. The central challenge is ensuring that innovation expands opportunities instead of deepening existing inequalities. Institutional misalignment exacerbates this scenario. A Boston Consulting Group report highlights that the slow translation of AI strategies into large-scale learning outcomes stems from a disconnect among ministries, education providers, employers, and funders. Most countries remain in the early stages of maturity, with isolated and uncoordinated experimentation that struggles to achieve systemic impact.

02The Brazilian Framework: Ethics and Institutional Responsibility

Faced with this global context of uncertainty, Brazil has chosen to establish clear boundaries. The Framework for the Responsible Use and Development of Artificial Intelligence in Education, published by MEC, guides institutional practices from early childhood through postgraduate education. The document, developed with 57 civil society contributions and two in-person workshops in Brasília, mandates that AI use transition from an individual teacher's initiative to an institutional responsibility. The framework establishes non-negotiable principles: mandatory human oversight in AI-mediated processes, transparency regarding tool functionality, and strict alignment with the General Data Protection Law (LGPD) and the Child and Adolescent Statute (ECA) in the digital environment. Systems that fail to provide clarity about their algorithms or guarantee data privacy may be excluded from institutional evaluation criteria. Brazilian public policy also recognizes that infrastructure is a necessary, though insufficient, condition. The Connected Schools program expanded high-speed internet access from 45% to 71.1% of public schools between 2024 and 2026, reaching approximately 100,000 schools and 24 million basic education students. Concurrently, MEC launched a free course titled "AI in Teaching Practice: Ethical, Creative, and Pedagogical Use," directly addressing the human readiness bottleneck. One of the most promising aspects of the initiative is the creation of the AI in Education Regulatory Sandbox, in partnership with the Attorney General's Office. This controlled environment allows for the testing of technological solutions prior to large-scale implementation, mitigating risks and ensuring that adopted tools have demonstrated pedagogical impact.

03The i10 Institute Perspective

For Instituto i10, the MEC framework represents a milestone in educational technological governance. The premise that teaching *about* AI must come before teaching *with* AI is fundamental. As Ana Úngari Dal Fabbro, General Coordinator of Digital Education at MEC, emphasized during the document's launch webinar, the framework's central message is to avoid the uninformed use of these tools in basic education. When technology arrives before the pedagogical reflection on its purpose, the results tend to be superficial. Genuine transformation occurs when technology is intentionally designed to promote equity, inclusion, and academic excellence. The focus must remain on developing durable human competencies — such as critical thinking, resilience, and collaboration — that technology cannot replicate. Brazil demonstrates institutional maturity by demanding that technological innovation be subordinated to the pedagogical project and the public interest. The requirement for transparency and data protection shields students from algorithmic biases and the commercial exploitation of their information.

04The Implementation Challenge

The educational ecosystem does not wait for frameworks to be fully assimilated before continuing to evolve. The challenge now is to translate these guidelines into everyday practices in schools, with families, and within institutions. The debate has moved past questioning *whether* artificial intelligence will be used in education. The central issue now is *how* to ensure that this integration occurs ethically, responsibly, and in alignment with real learning needs. Brazil has taken an important step by drawing the map; it remains to be seen whether the implementation capacity of educational networks can keep pace with the speed of technological change.