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Psittacines of Innovation? Assessing the True Novelty of AI Creations
April 2, 2024, 7:52 p.m. | Anirban Mukherjee
cs.CL updates on arXiv.org arxiv.org
Abstract: We examine whether Artificial Intelligence (AI) systems generate truly novel ideas rather than merely regurgitating patterns learned during training. Utilizing a novel experimental design, we task an AI with generating project titles for hypothetical crowdfunding campaigns. We compare within AI-generated project titles, measuring repetition and complexity. We compare between the AI-generated titles and actual observed field data using an extension of maximum mean discrepancy--a metric derived from the application of kernel mean embeddings of statistical …
abstract artificial artificial intelligence arxiv campaigns crowdfunding cs.ai cs.cl cs.hc design experimental generate generated ideas innovation intelligence measuring novel patterns project systems training true type
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