误传
生成语法
造谣
科学传播
计算机科学
数据科学
不完美的
人工智能
科学教育
心理学
万维网
社会化媒体
数学教育
计算机安全
语言学
哲学
作者
Sibusiso Biyela,Kanta Dihal,Katy Ilonka Gero,Daphne Ippolito,Filippo Menczer,Mike S. Schäfer,H. Yokoyama
标识
DOI:10.1038/s42254-024-00691-7
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI