It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Artificial Intelligence in Libraries: Home
A Guide to help academic librarians understand AI, why it's important to academic libraries, where AI is now in libraries and where it is going. Plus guides to how to start implementing AI in your library!.
Welcome to the AI in Academic Libraries Resource Guide!
This LibGuide serves as a place to learn more about Artificial Intelligence and its implementation in Academic Libraries.
As you scroll down the page the information is organized thus:
Learning AI Basics
AI in Academic Libraries
How to form an AI team/initiative
Learn About AI: AI CrashCourse series
In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum.
The article offers information on how to bring the artificial intelligence (AI) into libraries. Topics discussed include different ways to automate in libraries such as self-checkouts and digitization efforts
Example of the kind of team that can be formed in libraries that can create AI initiatives.
Learn about AI: Intro to AI books
Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
Publication Date: 2019
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent--really--are the best AI programs? How do they work? What can they actually do, and when do they fail?
Architects of Intelligence by Martin Ford
Publication Date: 2018-11-16
Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind questions about AI from some of the brightest minds in the Artificial Intelligence community
The Future of the Professions by Richard Susskind; Daniel Susskind
Publication Date: 2016-01-01
This book predicts the decline of today's professions and describes the people and systems that will replace them. Based on the authors' research of more than ten professions, this book assesses and questions the relevance of the professions in the 21st century.
Examples of AI Currently in Use at Academic Libraries
click on the icon in the lower right of the library homepage to meet Bizzy!
Algorithmic Bias in AI
Masked by Trust by Matthew Reidsma
Publication Date: 2019-06-01
While human bias, commercial interests, and problematic metadata have long affected researchers' access to information, algorithims in library discovery systems increase the scale of the negative effects on users, while libraries continue to promote their "objective" and "neutral" search tools.
Technically Wrong by Sara Wachter-Boettcher
Publication Date: 2017-10-10
Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use--and demand more from the companies behind them.