Xi Ding is a master’s student in Machine Learning at ANU, with a passionate focus on Transparent and Interpretable AI, particularly in the domain of video analysis. His academic journey is driven by a compelling interest in understanding and developing AI systems that can explain their decision-making processes, bridging the gap between complex algorithmic operations and human comprehension.
His research explores the critical intersection of machine learning and interpretability, with a specific emphasis on video-based AI technologies. By delving into the intricate world of artificial intelligence, he aims to develop innovative approaches that make AI systems more accessible, trustworthy, and understandable.
Currently serving as a research assistant at TIME Lab, Xi is actively contributing to groundbreaking work that pushes the boundaries of AI transparency and interpretability.