We introduce Brain-Artificial Intelligence Interfaces (BAIs) as a new class of Brain-Computer Interfaces (BCIs). Unlike conventional BCIs, which rely on intact cognitive capabilities, BAIs leverage the power of artificial intelligence to replace parts of the neuro-cognitive processing pipeline. BAIs allow users to accomplish complex tasks by providing high-level intentions, while a pre-trained AI agent determines low-level details. This approach enlarges the target audience of BCIs to individuals with cognitive impairments, a population often excluded from the benefits of conventional BCIs. We present the general concept of BAIs and illustrate the potential of this new approach with a Conversational BAI based on EEG. In particular, we show in an experiment with simulated phone conversations that the Conversational BAI enables complex communication without the need to generate language. Our work thus demonstrates, for the first time, the ability of a speech neuroprosthesis to enable fluent communication in realistic scenarios with non-invasive technologies.

通过引入脑-人工智能接口（BAI）作为一种新的脑-计算机接口（BCI）类别，我们可以让患有认知障碍的个体也能受益于BCI技术，BAI使用人工智能以取代传统BCI所依赖的完整认知功能，通过提供高层次意图来完成复杂任务，同时由预先训练的AI代理处理底层细节。本研究介绍了BAI的整体概念，并通过基于EEG的对话BAI展示了其潜力，特别是在一个模拟电话对话实验中，该对话BAI实现了复杂的交流，无需生成语言。因此，我们的工作首次展示了语音神经假肢在现实场景中使用非侵入式技术实现流畅交流的能力。

对话式脑人工智能界面