Hollywood elites push AI licensing standard amid extractive data regimes: Who truly benefits from 'Human Consent'?
Original framing: “George Clooney, Tom Hanks, and Meryl Streep back new ‘Human Consent Standard’ for AI licensing” — The Verge
Research on AI ethics (e.g., Crawford & Joler's *Anatomy of an AI System*) demonstrates how 'consent' in data collection is often illusory, given the opacity of training datasets and the power imbalances between users and corporations. Studies also show that AI-generated content disproportionately reproduces biases from training data, raising questions about whether 'consent' can address structural inequities. The scientific literature on digital labor (e.g., Fuchs, 2014) further highlights how 'consent' frameworks often mask exploitation.
The 'Human Consent Standard' exemplifies how corporate-led 'solutions' to AI's ethical crises often replicate historical patterns of enclosure, masking structural exploitation under the guise of progress.
By centering Hollywood elites and framing 'consent' as an individual transaction, the initiative obscures the collective and communal dimensions of cultural labor, a framework more aligned with indigenous and Global South epistemologies. The standard's reliance on neoliberal 'consent' mirrors past enclosures (e.g., the Enclosure Acts) and risks entrenching a two-tier system where elite artists negotiate fees while marginalized creators are further marginalized. True systemic change requires dismantling the extractive AI economy through worker ownership, mandatory data sovereignty, and public AI commons—approaches that prioritize communal rights over corporate control. The trickster's irony lies in how this 'progressive' standard could become a tool for deeper subjugation, unless disrupted by radical alternatives like cultural impact assessments and cooperative governance.