Name in original language
Programa de Letramento em Inteligência Artificial Generativa (ANATEL)
Initiative overview
The Generative AI Literacy Programme at Anatel addresses the need to build practical skills and responsible habits for using generative AI in everyday public‑sector work. It responds to growing demand from civil servants for guidance on how to use these tools safely, ethically and effectively in real workflows.
The initiative offers workshops on prompting and good practices, an institutional Prompt Gallery, and governance guidance on risk mitigation in AI use. Its objectives are to develop essential digital competencies, promote responsible and ethical AI use, and support the adoption of AI in concrete tasks such as drafting and analysing texts.
Over time, the programme is expected to become part of regular capacity‑building and onboarding activities, expanding to more teams and use cases within the agency and potentially to other public bodies. Its modular, low‑cost design and close connection with existing tools such as SEI IA make it suitable for gradual scaling and institutionalisation as AI becomes more embedded in public administration.
Results, outcomes and impacts
The programme has led to high participation in workshops and growing use of the institutional Prompt Gallery, especially in conjunction with SEI IA, supporting safer and more efficient text and analysis tasks. Results are observed through user feedback and evidence of productivity gains in drafting and reviewing documents. In the future, the initiative is expected to further improve digital skills, strengthen responsible AI practices and support wider, more effective use of AI across the organisation and potentially other public bodies.
Challenges and lessons learned
A key challenge has been addressing risks related to privacy, bias and over‑reliance on AI, while motivating staff to change habits and adopt new tools. These risks are managed through clear governance guidelines, emphasis on human supervision and continuous training focused on safe, ethical use. Lessons learned include the importance of simple, hands‑on activities, concrete examples linked to real workflows and alignment with existing systems such as SEI IA. Conditions for success include leadership support, a clear policy framework, low‑cost and modular design, and ongoing opportunities for feedback and learning.



























