Stanford AI researchers map out the technology for adding voice to the decentralized web that can be accessed openly by any virtual assistant.

This “severe” bias must be addressed before these language models become ingrained in real-world tasks. 

Large language models could give us instant answers, but at a cost to trust. Stanford scholars propose an alternative.

With Trove, weakly supervised NLP of clinical text is fast, adaptive, shareable, and high performing.

AI can help us read tens of thousands of case records within minutes, but some key Natural Language Processing challenges remain.

Scholars consider how the legal system might protect and regulate non-human actors.