Mastering Natural Language Processing with Transformers - KUMAR TIPU, RUPESH
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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.

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Produktbeschreibung
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.
Autorenporträt
Dr. Rupesh Kumar, a professor at K R Mangalam University, specializes in optimization and AI. With 10+ years of experience, he has published extensively and led research projects in engineering design and smart grid management. An accomplished educator, he has authored several books and actively contributes to professional organizations.