Abstract
Machine learning seems to be newly everywhere. It's not new, so much as faster processing makes it newly useful. Imagine an automated cataloging program that takes 300 years to run, versus one that takes a week to run. Increased processing speed is a substantive change. This presentation overviews the history of libraries and artificial intelligence. First, teasing out past applications of machine learning in libraries. High quality results and concrete applications of artificial intelligence in libraries have been explored and published for decades. Over time, faster processing allows use at scale. Second, how library and metadata work contributes to machine learning.
| Original language | American English |
|---|---|
| State | Published - Oct 17 2023 |
| Event | NASIG Autumn - Duration: Oct 16 2023 → Oct 18 2023 |
Conference
| Conference | NASIG Autumn |
|---|---|
| Period | 10/16/23 → 10/18/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Scopus Subject Areas
- Library and Information Sciences
- Artificial Intelligence
Disciplines
- Artificial Intelligence and Robotics
- Library and Information Science
- Social and Behavioral Sciences
- Theory and Algorithms
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