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This paper investigates the high false positive rate of existing AI-text detectors when applied to patent claims, which are legally required to be clear and concise like LLM output, and proposes a logistic regression classifier based on linguistic complexity features that outperforms perplexity-based detectors on consumer hardware.
Japan's Supreme Court ruled that artificial intelligence cannot be listed as an inventor on patent applications, affirming that inventors under patent law must be natural persons.