Stanford Seminar - Emerging risks and opportunities from large language models
Channel: Stanford Online
Category: Education
Tags: seminarstanfordaiartificial intellifencecs521stanford seminarai safety
Description: Tatsu Hashimoto, Professor of Computer Science at Stanford University April 20, 2022 Large, pre-trained language models have driven dramatic improvements in performance for a range of challenging NLP benchmarks. However, these language models also present serious risks such as eroding user privacy, enabling disinformation, and relying on discriminatory `shortcuts’ for prediction. In this talk, we will provide a short overview of a range of potential harms from language models, as well as two case studies in the privacy and brittleness of large language models. For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: stanford.io/ai
