natural language

The potential for damagingly inaccurate outputs is heightened by AI bots’ natural language capabilities, with which they offer even absurdly inaccurate answers with convincingly cocksure elan.

"This kind of gets to a big challenge of evaluating LLMs, because they're getting so good at generating nice, seemingly correct natural language, that it's easy to be fooled by their responses," said Jiang.

She’s been using AI for content moderation since 2016, when she released an anonymous social network app called Candid that relied on natural language processing to detect misinformation.

Bak's research goal is to develop a digital health solution based on using natural language processing and psychological theories to promote preventive health behaviors.

"LLMs have a way to tell you how to do each step of a task, in natural language. A human's continuous demonstration is the embodiment of those steps, in physical space," Wang says.