How will Generative AI impact communication?
通过显著性模型和信号传递模型，分析生成式AI如何影响信息发送者创造显著信息的能力和接收者的吸收成本，发现AI虽能降低沟通成本，但也可能破坏传统信号机制，需要新工具来评估信息质量。
This paper examines the impact of Generative AI (GAI) on communication through the lens of salience and signalling models. It explores how GAI affects both senders’ ability to create salient messages and receivers’ costs of absorbing them. The analysis reveals that while GAI can increase communication by reducing costs, it may also disrupt traditional signalling mechanisms. In a salience model, GAI generally improves outcomes but can potentially reduce receiver welfare. In a pure signalling model, GAI may hinder effective communication by making it harder to distinguish high-quality messages. This suggests that GAI’s introduction necessitates new instruments and mechanisms to facilitate effective communication and quality assessment in this evolving landscape.