Safety, Ethics, and Bias in NLP Systems - Lecture 21

Explore safety, ethics, and bias considerations in natural language processing systems through this graduate-level lecture from Carnegie Mellon University's Advanced NLP course. Professor Graham Neubig examines critical aspects of responsible AI development, focusing on identifying and addressing potential biases, ensuring system safety, and navigating ethical challenges in NLP applications. Learn essential principles for developing fair and responsible language models while understanding the broader societal implications of deploying NLP technologies. Part of CMU's comprehensive CS 11-711 curriculum, this lecture provides valuable insights for researchers, developers, and practitioners working to create more equitable and ethically-sound NLP systems.