An AI toolkit for libraries

Now that artificial intelligence (AI) tools are being widely used across academic publishing, how can we make informed assessments of these utilities? There is a need for a set of skills for evaluating new tools and measuring existing ones, which should enable anyone commissioning or managing AI uti...

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Main Author: Michael Upshall
Format: Article
Language:English
Published: Ubiquity Press 2022-11-01
Series:Insights: The UKSG Journal
Subjects:
Online Access:https://insights.uksg.org/articles/592
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author Michael Upshall
author_facet Michael Upshall
author_sort Michael Upshall
collection DOAJ
description Now that artificial intelligence (AI) tools are being widely used across academic publishing, how can we make informed assessments of these utilities? There is a need for a set of skills for evaluating new tools and measuring existing ones, which should enable anyone commissioning or managing AI utilities to understand what questions to ask, what parameters to measure and possible pitfalls to avoid when introducing a new utility. The skills required are not technical. Potential problems include bias in the corpus, a poor training set or poor use of metrics for evaluation. This article gives a quick overview of some of areas where AI tools are being used and how they work. It then provides a checklist for assessment. The goal is not to discredit AI, but to make effective use of it.
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spelling doaj.art-3e6587fc54e14fd8970d556be017a3472022-12-22T04:41:40ZengUbiquity PressInsights: The UKSG Journal2048-77542022-11-013510.1629/uksg.592524An AI toolkit for librariesMichael Upshall0ConsultantNow that artificial intelligence (AI) tools are being widely used across academic publishing, how can we make informed assessments of these utilities? There is a need for a set of skills for evaluating new tools and measuring existing ones, which should enable anyone commissioning or managing AI utilities to understand what questions to ask, what parameters to measure and possible pitfalls to avoid when introducing a new utility. The skills required are not technical. Potential problems include bias in the corpus, a poor training set or poor use of metrics for evaluation. This article gives a quick overview of some of areas where AI tools are being used and how they work. It then provides a checklist for assessment. The goal is not to discredit AI, but to make effective use of it.https://insights.uksg.org/articles/592ainlpevaluationmetricsresearch support
spellingShingle Michael Upshall
An AI toolkit for libraries
Insights: The UKSG Journal
ai
nlp
evaluation
metrics
research support
title An AI toolkit for libraries
title_full An AI toolkit for libraries
title_fullStr An AI toolkit for libraries
title_full_unstemmed An AI toolkit for libraries
title_short An AI toolkit for libraries
title_sort ai toolkit for libraries
topic ai
nlp
evaluation
metrics
research support
url https://insights.uksg.org/articles/592
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