Valide: An Augmented Intelligence Infrastructure for Large-Scale Regulatory Validation of Digital Textbooks

• Andressa Carvalho Universidade Federal de Alagoas (UFAL)
• Ranilson Paiva Universidade Federal de Alagoas (UFAL)
• Janaina Xisto Universidade Federal de Alagoas (UFAL)
• Lael Nervis Universidade Federal de Alagoas (UFAL)
• Ricardo Moro Universidade Federal de Alagoas (UFAL)
• Helenita Soares Universidade Federal de Alagoas (UFAL) / Universidade Estadual de Alagoas (UNEAL)
• Naelson Douglas Universidade Federal de Alagoas (UFAL)
• Alan Pedro Universidade Federal de Alagoas (UFAL)

DOI: https://doi.org/10.5753/sbie.2026.28357

Resumo

This paper presents Valide, an augmented intelligence infrastructure developed to support the technical evaluation of digital textbooks in the Programa Nacional do Livro Didático – PNLD. The platform integrates deterministic, AI-based, and hybrid validators with human review, traceable evidence, and institutional governance. The empirical analysis reported in this paper focuses exclusively on deterministic validators used in two official PNLD evaluation cycles encompassing 1,706 digital volumes. Results showed confirmation rates above 95% for the findings generated by these validators after human review. The findings provide evidence about the operational behavior of deterministic automation within the broader augmented intelligence infrastructure implemented by Valide, but do not evaluate the performance of its AI-based or hybrid validators.

Palavras-chave: Augmented Intelligence, Regulatory Validation, Digital Textbooks

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