Schmitz Boris
Department of Rehabilitation Sciences, Faculty of Health, University of Witten/Herdecke, Witten, Germany.
DRV Clinic Königsfeld, Center for Medical Rehabilitation, Ennepetal, Germany.
Digit Health. 2023 Jun 29;9:20552076231186245. doi: 10.1177/20552076231186245. eCollection 2023 Jan-Dec.
The role of scientific research in modern society is essential for driving innovation, informing policy decisions, and shaping public opinion. However, communicating scientific findings to the general public can be challenging due to the technical and complex nature of scientific research. Lay abstracts are written summaries of scientific research that are designed to be easily understandable and provide a concise and clear overview of key findings and implications. Artificial intelligence language models have the potential to generate lay abstracts that are consistent and accurate while reducing the potential for misinterpretation or bias. This study presents examples of artificial intelligence-generated lay abstracts of recently published articles, which were produced using different currently available artificial intelligence tools. The generated abstracts were of high linguistic quality and accurately represented the findings of the original articles. Adopting lay summaries can increase the visibility, impact, and transparency of scientific research, and enhance scientists' reputation among peers, while currently, available artificial intelligence models offer solutions to produce lay abstracts. However, the coherence and accuracy of artificial intelligence language models must be validated before they can be used for this purpose without restrictions.
科学研究在现代社会中的作用对于推动创新、为政策决策提供信息以及塑造公众舆论至关重要。然而，由于科学研究具有技术性和复杂性，向公众传达科学发现可能具有挑战性。非专业摘要（Lay abstracts）是科学研究的书面总结，旨在易于理解，并对关键发现和影响提供简洁明了的概述。人工智能语言模型有潜力生成一致且准确的非专业摘要，同时减少误解或偏差的可能性。本研究展示了使用不同现有人工智能工具为最近发表的文章生成的人工智能非专业摘要示例。生成的摘要具有较高的语言质量，准确地呈现了原始文章的研究结果。采用非专业摘要可以提高科学研究的知名度、影响力和透明度，并提升科学家在同行中的声誉，而目前可用的人工智能模型为生成非专业摘要提供了解决方案。然而，在无限制地用于此目的之前，必须验证人工智能语言模型的连贯性和准确性。
