A new framework from drmeta argues that humans, not models, bear the sole accountability for AI-assisted artifacts. The analysis ignores training data provenance and labor displacement to focus on the creator's debt to their audience. This positional approach shifts the debate from machine ontology to human responsibility. Practitioners must now define their disclosure standards.