Modern NLP and Ethics in NLP

This lecture explores the advancements in Natural Language Processing (NLP), including pretraining and scale, as well as the new challenges such as prompting, knowledge & reasoning, and robustness. It delves into the ethical considerations surrounding large language models, the implicit encoding of biases, and the potential harms like toxicity, disinformation, and privacy breaches.