In the May issue of American Libraries, without seeking her permission, this column ran with a photo of Professor Kim in all editions. After publication, she notified us of this mistake. We were not able to correct the print edition of the May issue. We have corrected it in the online, PageSuite, and PDF editions of the column. We apologize for the error. … Continue reading A New Tech Revolution
The session was sponsored by the Knowledge Management and Information Technology sections with the Big Data special interest group. Frank Cervone, director of information technology for the University of Illinois at Chicago’s School of Public Health, kicked off the program by asking, “Is AI real?” AI has been actively embedded in public and personal spaces, … Continue reading IFLA: Artificial Intelligence and Data Mining
Paige isn’t a librarian. She’s not even human. She’s a chatbot—a basic virtual assistant, programmed with a decision tree of potential questions, their answers, and code telling the bot how to respond. Cynthia Sandler, library media specialist at North Salem (N.Y.) Middle School and High School, created Paige in 2017 to help her students interact … Continue reading Your Library Needs to Speak to You
In Episode 37, Dewey Decibel explores how two academic libraries use AI to reach students and advance research. First, Dewey Decibel host and American Libraries Senior Editor Phil Morehart speaks with Nicole Coleman, digital research architect at Stanford (Calif.) University Libraries, about the importance of AI for libraries and the university’s multiple AI programs. Then Bohyun … Continue reading Dewey Decibel Podcast: AI in Academic Libraries
The impact of even this early wave of artificial intelligence (AI)—including voice assistants and machine learning (ML)—is still uncertain in many fields, but it is time to include AI on our professional agenda and in our national conversation. In talking with librarians working in this area, it’s clear that while AI can be useful, it … Continue reading Exploring AI
For example, Google’s Android operating system records, measures, and collects information and sends that data to servers. These servers use billions of data points collected from tens of millions of users as input for their machine learning systems. When you ask an Android phone to show you pictures from the beach, a complex set of … Continue reading AI and Machine Learning
In the last two years, Penn State University Libraries has seen rapid adoption of its information literacy microcredentials among students. Microcredentials—transferable forms of metadata-encoded, performance-based educational credits—are not new; they started gaining traction in academic libraries around 2012. What is different at Penn State is that to help manage the sudden volume of badge submissions, … Continue reading The Making of a Microcredential
“AI began to be used more in the 1980s, when expert systems were developed to mimic the human decision-making process,” Kim said. The technology has advanced profoundly because the internet “allows a vaster scale of data, and high-speed computing has multiplied the power of processing.” Advances in artificial neural networks have produced a technique called … Continue reading An AI Lab in a Library
One of my first stops at SXSWi was the IBM Cognitive Studio, the showcase for its artificial intelligence (AI), sometimes called machine learning. One of the most famous examples of AI is IBM’s Watson, and the company had a lot of fun showing it off at SXSWi. IBM had an entire floor of a building … Continue reading South by Southwest Interactive, Day One
