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Inside the Blackbox (Supervised Learning) imagines a political system driven by data within which citizens can train algorithms, their ‘data doubles’ to debate and vote on their behalf in a form of digitally mediated direct democracy. The first chapter of an ongoing project uses a video work and associated props to explore the creation of political avatar and creates the framework for continued exploration.