生成式人工智能与物理科学中的科学传播

IF 44.8 1区物理与天体物理 Q1 PHYSICS, APPLIED Nature Reviews Physics Pub Date : 2024-03-04 DOI:10.1038/s42254-024-00691-7

Sibusiso Biyela, Kanta Dihal, Katy Ilonka Gero, Daphne Ippolito, Filippo Menczer, Mike S. Schäfer, Hiromi M. Yokoyama

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引用次数: 0

摘要

生成式人工智能的进步可以为科学家提供易于使用的工具，帮助他们向不同受众传播自己的研究成果，从而实现科学传播的民主化。然而，这些工具并不完美，其输出结果必须经过专家检查。它们也可能被恶意利用，制造错误信息和虚假信息。七位研究人员和科学传播者权衡了生成式人工智能对科学传播的潜在好处和风险。七位研究人员和科学传播者权衡了生成式人工智能对科学传播的潜在好处和风险。

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Generative AI and science communication in the physical sciences

Advances in generative AI could democratize science communication, by providing scientists with easy-to-use tools to help them communicate their work to different audiences. However, these tools are imperfect, and their output must be checked by experts. They can also be used maliciously to produce misinformation and disinformation. Seven researchers and science communicators weigh up the potential benefits of generative AI for science communication against its risks. Seven researchers and science communicators weigh up the potential benefits of generative AI for science communication against its risks.

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来源期刊

Nature Reviews Physics Multiple-

CiteScore

47.80

自引率

0.50%

发文量

122

期刊介绍： Nature Reviews Physics is an online-only reviews journal, part of the Nature Reviews portfolio of journals. It publishes high-quality technical reference, review, and commentary articles in all areas of fundamental and applied physics. The journal offers a range of content types, including Reviews, Perspectives, Roadmaps, Technical Reviews, Expert Recommendations, Comments, Editorials, Research Highlights, Features, and News & Views, which cover significant advances in the field and topical issues. Nature Reviews Physics is published monthly from January 2019 and does not have external, academic editors. Instead, all editorial decisions are made by a dedicated team of full-time professional editors.

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