A five-level Bayesian framework turns AI-consciousness arguments into explicit, updateable assessments

From cacophony to hierarchy proposes five functional levels for analyzing possible AI consciousness and combines theory-weighted credences with indicator evidence in a Bayesian model rather than issuing a binary verdict.