Ethical AI: Mitigating Bias In Large Language Model

By Hawkings J Crowd

Ethical AI: Mitigating Bias in Large Language Models

In the age of artificial intelligence, large language models (LLMs) are transforming industries and reshaping our world.1However, the potential for bias within these powerful systems raises serious ethical concerns.2

This book delves into the critical issue of bias in LLMs, exploring its origins, manifestations, and potential consequences. It provides a comprehensive framework for understanding and mitigating bias, offering practical strategies and technical solutions for developers, researchers, and policymakers.

Key Topics:

The nature of bias in LLMsThe origins and sources of biasThe impact of bias on individuals and societyEthical considerations and responsible AI developmentMitigating bias through data curation, model training, and post-processing techniquesThe role of diversity and inclusion in AI developmentThe future of ethical AI and LLMs

Who Should Read This Book:

AI researchers and developersData scientists and engineersPolicymakers and regulatorsBusiness leaders and technology executivesAnyone interested in the ethical implications of AI

• Format: Paperback
• Language: English
• ISBN: B0DT43TPK5
• ISBN13: 9798307028674
• Release Date: January 2025
• Publisher: Independently Published
• Length: 122 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"