Generative AI (GenAI) is reshaping how complex data are modeled, interpreted, and applied across science, engineering, and industry. This workshop explores the predictive power and practical value of GenAI, with a strong focus on reliability, interpretability, and uncertainty-aware modeling. Topics include probabilistic foundations, uncertainty quantification, neural network learning, computational intelligence, and interdisciplinary AI applications. With an emphasis on human-centered, trustworthy AI, the event brings together foundational research and real-world innovation to discuss emerging challenges and opportunities in developing robust, transparent, and decision-supportive generative models. The workshop will be held on June 21–26 2026 at MECC Maastricht, Netherlands, as part of IJCNN 2026.