Uma abordagem para literacia de dados através de um guia LGPD interativo personalizado usando LLM para atividades docentes

Abstract

The Brazilian General Data Protection Law (LGPD) was created with the aim of protecting the fundamental rights of freedom and privacy of citizens living in Brazil. Since its implementation, it has brought new challenges to all institutions established in Brazil, whether public or private, requiring an adaptation in personal data processing practices. In the context of higher education institutions, many professors face difficulties in understanding and properly applying the guidelines of this legislation in their daily activities. This work proposes the development of an approach to data literacy through an interactive guide, based on practical scenarios, to support educators in the process of complying with the LGPD. The proposed system uses the OpenAI API, specifically the GPT-3.5- Turbo-0125 model, to offer real-time personalized support. Ten representative academic scenarios were implemented, in which users can interact through multiple-choice questions followed by a chat with the guide. The results showed that, despite initial usability limitations, the system represents a promising tool for promoting LGPD comprehension among teachers, facilitating legal compliance. It is concluded that the system can facilitate compliance with the legislation but requires improvements in accessibility and usability to ensure greater adoption.