Posts by Lydia Middleton

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…

Democratize Artificial Intelligence by Kineret Ben Knaan In recent years, we have seen an increase in the adoption of artificial intelligence (AI) applications in public and academic libraries. While libraries are still less proactive than the private sector in embracing AI and machine learning (ML), they are slowly beginning to discover ways AI solutions can…

The Challenges of the Literature Review Process and the Promise of Artificial Intelligence by Michael Shensky A comprehensive and well conducted literature review is the foundation on which new research is built, yet carrying out a successful review of published academic work on a particular topic can be challenging. Given the importance of the task…

Human + Artificial Intelligence in Libraries by Kimberly S. Grotewold Libraries have historically been places, either physical or digital, where people go to seek knowledge, learn skills, and thoughtfully engage with others’ ideas– where people go to grow their “human intelligence.” The vast accumulation of information about people’s lives and behaviors has become the foundation for…

Collaborative Model Towards Intelligence by Sharon Whitfield In recent years, AI has been used to determine whether images have cancers that are not seen or not considered problematic by trained physicians (Liu, 2018; Svoboda, 2022). A recent study by Lebig, Brehmer, Bunk, Byng, Pinker & Umutlu (2022) reported that AI was able to screen for…