Sexual Education and STI Prevention in High School: A Neutrosophic Analysis of the Opportunities and Risks of Generative Artificial Intelligence

Authors

• Antonio Pioquinto Rivera, Centro de Bachillerato Tecnologico Industrial y de Servicios No. 56, Iguala de la Independencia, Guerrero, Mexico
• Gregorio Nunez Hernandez
• Rosalinda Villa Juarez, School of Nursing No. 4, Universidad Autonoma de Guerrero, Mexico

Abstract

Sexually transmitted infections (STIs) remain a critical challenge during adolescence. Given the limitations of traditional sex education, generative artificial intelligence (GAI) has emerged as a personalized and anonymous consultation alternative. This study analyzes, from a neutrosophic perspective, the scientific evidence published between 2019 and 2026 on the use of GAI to strengthen STI prevention among high school students. Through a critical integrative review of thirteen reference studies, a matrix was built that classifies the findings across four dimensions (AI-mediated learning, sexual education, STI prevention, and educational equity) according to their truth (T), falsity (F), and indeterminacy (I) components. The results indicate that GAI facilitates anonymous, personalized, judgment-free access to preventive information (T), while documented risks of scientific inaccuracy (hallucinations), bias, and digital-divide exclusion persist (F). We conclude that GAI should operate as a complementary resource, subordinated to teachers' pedagogical guidance and to the clinical validation provided by school nursing.

Recommended Citation

Pioquinto Rivera, Antonio; Gregorio Nunez Hernandez; and Rosalinda Villa Juarez. "Sexual Education and STI Prevention in High School: A Neutrosophic Analysis of the Opportunities and Risks of Generative Artificial Intelligence." Neutrosophic Sets and Systems 101, 1 (2026). https://digitalrepository.unm.edu/nss_journal/vol101/iss1/3