Market Design for AI: Beyond the Copyright Binary
Researchers propose a novel market design framework for AI training data that moves beyond binary approaches of unrestricted use or strict IP protection. The study identifies critical market failures in both models—free-for-all systems don't compensate creators while strong IP rights discourage innovation—and introduces a data intermediary solution to balance technological progress with creator incentives.