Mastering Natural Language Processing with Transformers

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

This comprehensive chapter on ethical considerations in NLP with Transformers explores critical issues such as bias and fairness, privacy concerns, and responsible AI practices. It delves into theoretical concepts like disparate impact metrics for measuring bias, privacy-preserving techniques in NLP models, and practical implementations using the transformers library. By emphasizing transparency, accountability, and ethical guidelines, the chapter aims to foster responsible AI development and deployment in NLP.