How Robustly Can Integrated Information Be Estimated in Artificial Neural Networks?
Zenodo (CERN European Organization for Nuclear Research) September 8, 2026 Sudin Shrestha, Yuvraj Aryal, Devendra Panta et al.
Integrated Information Theory (IIT) identifies consciousness with the intrinsic, irreducible cause–effect power of a physical system, quantified by integrated information Φ, and is therefore often applied to artificial neural networks (ANNs) via scalable proxies. Our central finding is that such proxies are not currently reliable enough to support the comparisons they are used for. We test one...