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Recommended Reading on Artificial Intelligence, Metadata, Digital Literacy, and Low-Cost Business Research

Magazine article Online Searcher

Recommended Reading on Artificial Intelligence, Metadata, Digital Literacy, and Low-Cost Business Research

Article excerpt

Information technology is continually changing the information services landscape and the way we work. What remains at the core of the library and information industry is the importance of information professionals and their continuing evaluation of how technology can best serve clients and users. This issue's Hard Copy looks at the possibilities of AI and machine learning to completely transform information services as we know them, developments in metadata, the possibilities of information technology to impact learners of all ages, and a good example of the information professional's invaluable role in evaluation and curation of substantive research resources.


Artificial Intelligence and Machine Learning in Libraries

Edited by Jason Griffey

ISBN: 978-0-8389-1814-2 (softcover)

Published: 2019

Pages: 32

Price: $43.00

Available from: ALA TechSource, American Library Association, 50 East Huron St., Chicago, IL 60611-2795;;

AI, the imitation of intelligent human behavior in computers, has moved from being a mainstay of science fiction to playing a key role in industries such as healthcare, manufacturing, advertising, and finance. What implications does the spread of AI have for library work? Artificial Intelligence and Machine Learning in Libraries, a recent issue of the Library Technology Reports series, offers broad insights and specific examples of the growing importance of AI in library work. In this report, editor Jason Griffey, founder of Evenly Distributed, a technology consulting firm for libraries, presents a compelling case for the possibility of AI's transformation of libraries and library science.

Three case studies illustrate current implementations of AI in academic libraries: Massachusetts Institute of Technology (MIT), the University of Rhode Island (URI), and Miami University Libraries. The HAMLET system (How About Machine Learning Enhanced Theses) at MIT was one of the first, if not the first, ML system to be used in a library in the U.S., as reported by Andromeda Yelton, a developer at the Berkman Klein Center for Internet and Society at Harvard. Bohyun Kim's chapter describes the confluence of data science initiatives at URI that resulted in a new Artificial Intelligence Lab, a student-centered, campus community-oriented, multidisciplinary space located in a library setting. At Miami University, discovery services librarian Craig Boman explores the possibility of ML to assign formal subject headings to full-text fiction and nonfiction ebooks. Each case study is grounded in an introductory discussion from the context of AI and machine learning; references at the end of each chapter and the "Sources Consulted" section at the end of the book provide a thorough and useful springboard for further research. The beginning and concluding essays by Griffey are particularly useful, as both bring readers up-to-speed on the current state of AI and suggest opportunities for further exploration.

As with other titles in the Library Technology Reports series, this issue is meant to be used as a practical workbook, with numerous examples and space for reader notes. Issues of Library Technology Reports become open access (OA) 1 year after publication.


Information Resource Description: Creating and Managing Metadata, Second Edition

By Philip Hider

ISBN: 978-0-8389-1836-4 (softcover)

Published: 2018

Pages: 288

Price: $85.99

Available from: ALA Neal-Schuman, American Library Association, 50 East Huron St., Chicago, IL 60611-2795;

One of the ironies of living in the Information Age is that while seemingly limitless information is at the researcher's fingertips, it is increasingly difficult to find because of its sheer volume. …

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