Speaker and press kit
Generative AI in education, from someone who builds the systems and still teaches the classes.
Author of Generative AI for Teachers and Inteligência Artificial Generativa para Professores. Delivered his keynote online at ICAILY 2026 and also presented at DataMinitech. Mathematician and PhD candidate at IME-USP. Speaks and writes in English and Portuguese. Everything on this page may be reproduced without asking, including the photograph, for coverage and event materials.
The urgent conversation is no longer what artificial intelligence might one day do for education. It is what these systems are already doing in real classrooms, with real teachers and real institutional consequences: where the gains are genuine, where they remain unproven and what responsible adoption actually demands.
Schools do not scale artificial intelligence by distributing licences. They scale it when teachers have confidence, repertoire, criteria and autonomy. Built on training 50 teachers across institutions, and on what changed when the institutional stance changed.
Tool permissions, data grounding, exception handling, audit trails and human supervision. How to tell an agent that works from one that only appears to, and what evidence to demand before an agent touches a production process.
Hidden information channels inflate apparent performance. Drawing on a forensic study of answer leakage in agentic code repair, this talk covers restricted feedback, same-pool comparison and immutable provenance as practical controls for anyone buying or building AI systems.
A detector can flag text; it cannot establish understanding, judgement, authorship or the ability to revise. What each discipline should count as evidence of learning, and how version histories, oral defence and commentary on errors make thinking visible again.
When an AI service says a human reviews ambiguous cases, someone is queuing. Public institutions should measure who waits, how long and what happens meanwhile. Also covers multilingual evaluation: a system that works in English and fails in another language can still look compliant in aggregate.
Teacher development is the priority: learning how to check an AI response, judge whether it serves a lesson and make informed professional choices. Training gives teachers time to learn, support to try ideas and a voice in their school’s decisions about AI.
Conference keynotes. Panels and moderated discussions. Staff training days for schools and universities. Closed-door briefings for leadership teams on AI adoption, governance and evaluation. Advisory work on AI implementation.
In person or live online, with a pre-recorded backup for international events where connectivity is a risk. Slides are written for the specific audience rather than reused. Based in São Paulo, Brazil, and available to travel.
On 9 October 2026, Roney also celebrated the launch of Inteligência Artificial Generativa para Professores at Livraria da Vila.
Roney Lima do Nascimento is the author of Generative AI for Teachers, a mathematician and PhD candidate at the University of São Paulo, and an independent AI solutions developer and consultant working on artificial intelligence in education and in companies.
Roney Lima do Nascimento is the author of Generative AI for Teachers (Amazon, 2025) and Inteligência Artificial Generativa para Professores (Editora Dialética, 2026). A PhD candidate in Pure Mathematics at the University of São Paulo, he builds AI systems for companies and schools and trains teachers to use them. He delivered his keynote online at ICAILY 2026. His priority is teacher development and professional autonomy.
Roney Lima do Nascimento is an author, mathematician, AI solutions developer and applied AI researcher. He wrote Generative AI for Teachers (Amazon, 2025) and Inteligência Artificial Generativa para Professores (Editora Dialética, 2026), and published 18 original press articles in 2026 as of 14 October, including contributions to ISTE+ASCD, HEPI, Folha de S.Paulo and The Fulcrum. Republications and language versions are counted separately.
He is a PhD candidate in Pure Mathematics at the Institute of Mathematics and Statistics of the University of São Paulo, supervised by Prof. Raul Antonio Ferraz and funded by CAPES, with research on flat ternary cyclotomic polynomials. He works as an independent AI solutions developer and consultant, building AI agents for companies and running AI training for schools and organisations, and teaches IB Diploma Programme Mathematics and an applied generative AI elective at Colégio São Luís in São Paulo. His AI platforms for education reach more than 15,000 educators every month. He delivered his keynote online at ICAILY 2026 and is a peer reviewer for Education and Information Technologies (Springer).
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