IDEA
AI in library from learning to application
AI in library from learning to application by Gang Shao With the increasing computational capacity, AI and machine learning, particularly deep learning, are becoming leading technics and have more and more impacts in our daily life, from face recognition phone lock to security camera to the whole smart home systems, from learning information with big…
Read MoreAI Communication Facilitation between Stakeholders
AI Communication Facilitation between Stakeholders by Martha Anderson Can AI facilitate communication between the organization’s internal and external stakeholders while managing change? Organizational restructuring is not necessarily new to libraries. However, creating a cohesive team and a unified message while managing change can be difficult. If we consider the additional challenges of the pandemic in…
Read MoreRobots are headed out of Makerspaces and into the stacks
Robots are headed out of Makerspaces and into the stacks by Dorothy Ogdon Robots are automated machines usually intended to replace or lessen human effort in tasks. Cobots are automated machines designed to work collaboratively alongside humans. Twenty-one years past the start of the 21st century, robots and cobots of all kinds are present in libraries, as a popular feature of STEAM, STEM, and Makerspace activities.…
Read MoreOK Google! write this blog post for me
OK Google! write this blog post for me by Peter Hyun How should I start this blog post? Maybe I don’t need to start it at all… “Artificial intelligence today is more complex than ever before, and there’s a growing number of companies and research groups working on ways to make it more intelligent. One…
Read MoreAutomating born-digital archival description
Automating born-digital archival description by Shelly Black Many digital humanities and grant-funded projects have involved the application of machine learning techniques to analyze and reveal new insights from the historical record. These efforts often involve many collaborators and large collections. Can special collections and archives use these same tools to improve description, and consequently access,…
Read MoreAI for All Children – For a More Hopeful Future
AI for All Children – For a More Hopeful Future by Julie Marie Frye Nearly five years ago, I observed Jamie McQueen, introducing Whitby School 7th grade learners to Boston Analytics’ Atlas during his Language & Literature course. Learners were captivated with Atlas’s technology and began reimagining a future where artificial intelligence (AI) ran the world. Jamie’s See, Think, Wonder on Atlas…
Read MoreAlexa, Please Understand Me
Alexa, Please Understand Me by Win Shih For non-native speakers, people with regional lilts, dialects, drawls, or people with speech impairments or mobility issues, it can be frustrating sometimes when voice assistant seems not getting their utterance. “Sorry, I can’t help with that,” “Sorry, I’m having trouble understanding right now,” or “Sorry, I didn’t get that.”…
Read MoreIntegrating AI Technology in School Librarian Preparation Program
Integrating AI Technology in School Librarian Preparation Program by Gigi Mohamad According to AASL, school librarians are instructional leaders, technology integrationists, Collaborators, and program administrators. Budget cuts in many school libraries deprived librarians of any personnel assistance and restricted them from extending their reach outside of their library spaces. With the advances in AI technology,…
Read MoreClose to the Machine
Close to the Machine by Anchalee (Joy) Panigabutra-Roberts I thought about AI (artificial intelligence) and it took me back to a book I read many moons ago by Ellen Ullman, a woman computer programmer, with the title, Close to the Machine: Technophilia and its Discontents (San Francisco: City Lights Books, 1997). It is her memoir…
Read MoreSkill Deserts: How Pressures and Unfamiliarity Kill AI Projects
Skill Deserts: How Pressures and Unfamiliarity Kill AI Projects by Cas Laskowski Great AI applications require deliberate application, thoughtful planning, and meaningful data. Unfortunately, many projects are subject to various pressures that work against best practices. The seemingly never-ending hype around AI, and more specifically machine learning (ML) creates serious institutional fear of falling behind…
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