Posts by Lydia Middleton

Collections as data; ML literacies in libraries by Rafia Mirza In our research technology workshop series at my home institution we discuss not only the technical skills that go into a project, but also the ethical considerations as well. In our workshops we often start with the conceptual questions–why might you do something a certain…

Adaptive Strategies for Successful Librarianship in an AI-Driven World by Sharon Clapp In the discipline of artificial intelligence (AI) known as machine learning (ML), “supervised learning” takes place when a set of data that has already been classified by humans is used to “teach” the machine how to classify additional data on its own. While…

AI and User Data by Robert Wilson In January 2022, my role changed to Systems and Analytics Librarian at Middle Tennessee State University’s Walker Library. In this role, time is dedicated to reporting including the formalization and automation of past data analytics and data visualization work as well as predictive analytics. This work includes improving…

A reflection on a week of participatory learning and networking about AI in Libraries by Thomas (T.J.) Ferrill It was such a privilege to have been invited to participate as a fellow in the 2022 IMLS IDEA Institute on AI. Learning alongside researchers, practitioners, and scholars working in library and information science was an unparalleled…

Sharpening ideas of AI for libraries at IDEA AI Institute | IDEA Institute on Artificial Intelligence by Borui Zhang Hi, IDEA blog site visitor! I’m an “AI librarian” I’m a human being too – sorry if I disappointed you. I work as the NLP specialist at my school library where we provide AI consultations, training,…

Utilizing AI and ML for the Professional Development and Programming Needs of School Librarians By Daniella Smith Connecting AI and ML to Libraries I am very appreciative for the opportunity to attend the IDEA Institute. It has been wonderful listening to the ideas about applying Artificial Intelligence (AI) and Machine Learning (ML) to librarianship. Often, people…

LAIbrary services, predictive analytics & recommender systems by Lencia Beltran The Artificial Intelligence application of machine learning predictive analytics and recommender systems is pervasive in a number of companies today like Amazon, Spotify, and Pinterest, but what about libraries? It’s unlikely a person will see or have heard of such systems being widely used in…

Libraries play an important role in the future of AI by Mary Beth Holm AI is already a major part of everyday life, whether people are aware of it or not. Credit, healthcare, career opportunities, and even personal freedom may be impacted by AI. It is important that people understand AI and that there are…

Notated Music Extraction into Machine Readable Data by Erik Radio Iterative processes constitute a significant part of any machine learning (ML) project. For my project I found they were necessary even before arriving at any coding. Specifically, just the concept and telos of ML changed the ways in which I thought about a particular problem.…

Semi-Automating Systematic Review Queries by Valerie Lookingbill With the exponential rise in online publishing, there is an increasing need for comprehensive overviews of research, including systematic reviews, a methodology for conducting reviews of literature that prescribes explicit, reproducible, and transparent processes for collating the best available evidence on a particular topic. While this rise in…