Adapting Toxicology Education: Leveraging Generative AI and Digital Tools for Advanced Risk Communication

The rapid advancement of Artificial Intelligence (AI) poses new challenges for higher education (Nature, 2025), particularly in toxicology (Kleinstreuer & Hartung, 2024; Singh, 2023). These challenges include concerns about the quality and bias of AI training data, the need to integrate AI tools into existing curricula effectively, and ensuring that students develop critical thinking and independent judgment alongside AI use (Zhang et al., 2023; Preiksaitis & Rose, 2023; Ali et al., 2024). In risk communication specifically, AI introduces complexities such as managing new risk scenarios generated by AI itself, ensuring transparency, and effectively communicating uncertainty to diverse audiences (Maertens et al., 2024; Pascual-Presa & García-Orosa, 2024). This paper describes a pedagogical intervention in the "Pharmaceutical Toxicology" course designed to equip students with advanced digital literacy and communication skills. The central aim of the experiment was to evaluate how the strategic use of AI and digital tools can enhance learning outcomes regarding risk communication, collaborative work, creativity, and critical thinking.