Libraries and information services are constantly evolving and adapting to the capacity and capabilities offered by emerging technologies. With the emergence of Generative AI, the information sector wonders how it will impact information users and professionals. The book explores this vital question by first raising evidence-based questions around user interactions with AI and its efficacy in providing responses that are relevant and suitable for specific user needs and contexts. Through the critical analysis of these case studies, the book will discuss whether and how the conventional models of information search process, information seeking and retrieval, are applicable to explain the user interactions with the Gen AI tools for information access. This approach to AI and information will seek to explore;
- The impact of AI tools on information by changing user behaviour, shifting the gap in user access and impending users to find the best data and being critical
- How libraries and database search services adapt these tools to improve access to information and data
- How the use of these tools could generate new knowledge in information science, seeking and retrieval research and education
- How these tools can be trained to best fulfil the user’s needs and context
While exploring the implications of AI for the overall library and database services, the book will aim to portray the overall picture of applications of Generative AI in the information science field.
This book is tailored for the knowledge sector, from LIS professionals to students and academics. It’s a perfect title for those seeking to understand Generative AI and how it applies in their context.
Tabella dei contenuti
Chapter 1: Introduction
Chapter 2: Information access: tools and processes
Chapter 3: Information Seeking and Retrieval
Chapter 4: Gen AI for everyday life information
Chapter 5: Gen AI for research and scholarly information
Chapter 6: Gen AI and information-seeking
Chapter 7: Gen AI and User Skills for Information Access
Chapter 8: Gen AI for information access: a research agenda
Conclusion
Circa l’autore
Professor Gobinda Chowdhury BSc Hons, MSc, Ph D, FCLIP is Professor in Information Science at i School@northumbria, and Head of the Department of Mathematics and Information Sciences at Northumbria University. Before joining Northumbria University he was a Professor and Director of the Centre for Information and Knowledge Management at the University of Technology Sydney, Australia. For over 25 years he has worked as an academic and researcher in information science in different parts of the world including Asia, Africa, Europe and Australia. For the past few years he has been actively involved in the i Schools activities. Professor Chowdhury has written or edited 15 books and over 150 research papers.
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