Uncertainty as Inheritance: Measurement Theory, Quantum Limits, and the Interpretability Crisis in Artificial Intelligence
Long before the first neural network was trained, physicists grappling with quantum phenomena discovered something unsettling: the act of observation irrevocably alters what is observed. Today, as researchers struggle to peer inside large-scale AI systems, that same epistemological wall has reappeared in a new form—and its implications for claims of algorithmic transparency deserve serious philosophical scrutiny.