Oleksii Furman

Oleksii Furman is a Ph.D. candidate at Wrocław University of Science and Technology, specializing in machine learning and artificial intelligence. His research focuses on generative models and explainable AI (XAI), particularly counterfactual explanations that make complex machine learning models more transparent and interpretable. His work aims to bridge the gap between advanced AI systems and human understanding, helping people better understand and trust their decisions. He has published at leading international conferences, including NeurIPS, IJCAI, and ECML.