Readers rated AI-generated poems as more human than real ones
A Scientific Reports study found non-expert readers misjudged AI poems as human more often than they misjudged real poems as AI.
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A Scientific Reports study found non-expert readers misjudged AI poems as human more often than they misjudged real poems as AI.
A 33-participant study found ChatGPT users produced less distinct ideas than users of a non-AI tool, and AI-written book reviews cluster narrowly too.
A representative Pew survey found 53 percent of U.S. adults expect AI to worsen creative thinking, versus 16 percent who expect improvement.
A CHI 2023 experiment found a one-sided writing assistant shifted both what 1,506 participants wrote and what they later said they believed.
A Science-published experiment found ChatGPT access cut professional writing time by 40 percent and raised rated quality by 18 percent among 453 workers.
The WMT24 findings paper reports 10 systems judged mainly by humans on Chinese-English web fiction, a narrower scope than the task page had announced.
A Stanford study found seven GPT detectors misclassified 61 percent of non-native English essays as AI-written, versus near-perfect accuracy on native essays.
A Stanford method estimates 6.5-16.9 percent of reviews at four AI conferences were AI-modified; a related study found up to 17.5 percent in CS papers overall.
Nature's survey of about 1,600 self-selected researchers found many use generative AI for manuscripts; its methodology says the sample is not representative.
A transfer-learning classifier reached 96.86 percent accuracy distinguishing real Amazon book reviews from reviews generated by the Vicuna language model.