HIV/AIDS remains a critical public health challenge in Ethiopia, leading to high rates of infections, treatment failures, and mortality. By designing trustworthy AI/ML models, we will forecast trends and identify causes of these HIV problems to assist in decision-making. We will research uncertainty quantification to provide well-calibrated confidence intervals, and explainable AI to ensure reliability of the models.