That is Matt Groh, a PhD student and researcher at the MIT Media lab.

麻省理工学院媒体实验室的博士生兼研究员 Matt Groh 如是说。

Ultimately, Groh is relatively optimistic about finding ways to sort and flag deepfakes.

最重要的是，Groh 对于找到方法为深度伪造分类和标记是很乐观的。

Groh sees this as a problem in part with the way the AI's prediction is presented.

Groh 认为，这很大程度是 AI 预测结果呈现方式导致的问题。

Groh and his team had a hunch that humans might be uniquely suited to detect deep fakes.

Groh 和团队预感人类可能特别适合检测深度伪造。

Groh has several ideas in mind for how you might design a system for collaboration that also allows the human participants to better utilize the information they get from the AI.

Groh 思考了几种方法来设计出协作系统，让人类参与者更好地利用 AI 信息。