Libraries and information services are constantly evolving and adapting to the capacity and capabilities offered by emerging technologies. With the emergence of Generative AI (Gen AI), what is the impact of these tools for access to information?
By undertaking an evidence-based approach and analysing and comparing the output generated by a range of Gen AI tools for access to specific information in everyday life, research and scholarly contexts, this book discusses the implications of these technologies for the end-users, as well as education and professional practice in the library and information sciences.
Designed for students, academics, researchers and professionals in library science, information science and computer science, this authoritative work takes a practical approach to demonstrate and critically analyse the benefits offered by emerging Gen AI tools for information access, as well as the potential challenges and questions associated with the use of these tools. Legal and ethical issues of using Gen AI are discussed as well as the skills needed in order to use these tools effectively to find data and information for research and in everyday life.
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G. G. Chowdhury is a Professor of Information Science in the Department of Computer and Information Sciences at the University of Strathclyde. Previously, he had held several senior academic positions including Professor and Head of Mathematics and Information Sciences, as the Head of iSchool at Northumbria University and as a Professor and Director of Information and Knowledge Management at the University of Technology Sydney. Professor Chowdhury is a world-leading expert in digital libraries, cultural information management and sustainable information systems and services. He has published 16 books and over 160 research papers and has previously served as the European and Global Chair of the iSchools organisation.
Sudatta Chowdhury is a Research Associate in the Department of Computer and Information Sciences at the University of Strathclyde. Previously, she had held several academic and research positions at universities in the UK, Singapore and Australia. Her research focuses on information-seeking behaviour and human-centred challenges for access to information, including digital divide and digital and information skills. She has co-authored five books, several journal and conference papers, and book chapters.
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Hardcover. Condition: new. Hardcover. Libraries and information services are constantly evolving and adapting to the capacity and capabilities offered by emerging technologies. With the emergence of Generative AI (Gen AI), what is the impact of these tools for access to information?By undertaking an evidence-based approach and analysing and comparing the output generated by a range of Gen AI tools for access to specific information in everyday life, research and scholarly contexts, this book discusses the implications of these technologies for the end-users, as well as education and professional practice in the library and information sciences.Designed for students, academics, researchers and professionals in library science, information science and computer science, this authoritative work takes a practical approach to demonstrate and critically analyse the benefits offered by emerging Gen AI tools for information access, as well as the potential challenges and questions associated with the use of these tools. Legal and ethical issues of using Gen AI are discussed as well as the skills needed in order to use these tools effectively to find data and information for research and in everyday life. With the emergence of Generative AI, the information sector wonders what its impact will be on the information users and professionals. The book explores this vital question through the critical analysis of case studies and aims to portray the overall picture of applications of Generative AI in the information science field. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781783307739
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