Generative AI’s power to interact with scientists in a natural manner, to perform unprecedented types of problem-solving, and to generate novel ideas and content poses challenges to the long-held values and integrity of scientific endeavors.
Marcia McNutt
President of the National Academy of Sciences
Marcia McNutt coauthored a 2024 PNAS editorial stating that generative AI challenges scientific integrity and calling for human accountability and oversight.
President of the National Academy of SciencesPublished May 21, 2024 · date of remarks not establishedProceedings of the National Academy of Sciences
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Surrounding words
… directives, the systems can provide users with coherent text, compelling imagery, and analyses, while also possessing the capability to generate novel syntheses and ideas that push the expected boundaries of automated content creation. Generative AI’s power to interact with scientists in a natural manner, to perform unprecedented types of problem-solving, and to generate novel ideas and content poses challenges to the long-held values and integrity of scientific endeavors. These challenges make it more difficult for scientists, the larger research community, and the public to 1) understand and confirm the veracity of generated content, reviews, and analyses; 2) maintain accurate attribution of machine-
What this quote does not say
- This is a multi-author editorial, so the passage establishes McNutt's coauthorship of the collective statement but not that she alone drafted the sentence.
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