Enhancing Model Transparency

The team is focused on improving the explainability and transparency of machine learning models by developing tools that help measure their performance. Before proposing changes, it's crucial to first understand the current state of the models. There’s an ongoing effort to bridge the gap between engineering impact and research, emphasizing the importance of measurement in this process.