Much of the public conversation around digital technology tends to focus on what’s going wrong: we scroll too much, sleep too little, and seem glued to our phones. But that’s only part of the picture.

A new interdisciplinary framework reveals how machines and humans generalize knowledge in fundamentally different ways, a breakthrough that could shape the future of sustainable, human-aligned AI.