Information Access in the Era of Generative AI

Description

Information Access in the Era of Generative AI 2024th Edition by Ryen W. White explores how AI reshapes information retrieval. This edition highlights the profound impact of generative AI on accessing knowledge. White examines the evolution of AI tools that transform how users interact with digital information. The book offers insights into the challenges and opportunities created by AI-driven systems in the information age.

Information Access in the Era of Generative AI provides a deep dive into AI technologies like machine learning and natural language processing. These technologies revolutionize how search engines, digital libraries, and information systems operate. White explores how AI is being used to enhance and refine information access across industries.

The 2024 edition reflects the latest developments in AI, showing how generative models improve relevance and accuracy in search results. White covers how personalized information retrieval is becoming more precise through generative AI models, giving readers an understanding of this shift. The book offers case studies that showcase the practical applications of AI in information systems.

Throughout Information Access in the Era of Generative AI, White also addresses the ethical implications of AI-driven access. He discusses privacy concerns, biases in AI algorithms, and the responsibility of those developing AI tools. These issues are critical as generative AI systems become more pervasive.

The 2024 edition is an invaluable resource for professionals, researchers, and students in the fields of information science, computer science, and AI. White’s writing ensures that both experts and newcomers can understand the complexities of AI-driven information retrieval. Readers will gain a comprehensive understanding of the role of generative AI in shaping future information access.

Ebook equips readers with the knowledge to navigate and innovate in an AI-powered world.