论文标题
健康信息生成的人工智能：理论，方法和实证研究使用及时工程
Artificial Intelligence for Health Message Generation: Theory, Method, and an Empirical Study Using Prompt Engineering
论文作者
论文摘要
这项研究介绍并研究了AI系统产生健康意识信息的潜力。叶酸的主题是一种在怀孕期间至关重要的维生素，作为测试案例。使用及时的工程，我们生成的消息可用于提高认识，并通过计算和人类评估方法将其与转推人类的消息进行了比较。该系统易于使用和多产，计算分析表明，在情感，阅读轻松和语义内容方面，AI生成的消息与人类生成的信息相当。此外，人类评估研究表明，AI生成的消息的消息质量和清晰度更高。我们讨论这些结果的理论，实用和道德含义。
This study introduces and examines the potential of an AI system to generate health awareness messages. The topic of folic acid, a vitamin that is critical during pregnancy, served as a test case. Using prompt engineering, we generated messages that could be used to raise awareness and compared them to retweeted human-generated messages via computational and human evaluation methods. The system was easy to use and prolific, and computational analyses revealed that the AI-generated messages were on par with human-generated ones in terms of sentiment, reading ease, and semantic content. Also, the human evaluation study showed that AI-generated messages ranked higher in message quality and clarity. We discuss the theoretical, practical, and ethical implications of these results.
