AI is not Just a Technology

Claudia Engel, Nicole Coleman
Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 141:23-28, 2021.

Abstract

Reporting on our experiences introducing a broad range of staff of academic libraries to AI, we suggest that training in practical applications of AI requires more than learning the technology. AI projects in libraries require contributions by computing specialists, subject specialists, metadata librarians, conservators, and others; each bringing different expertise and competencies to the project. We offer an integrated approach to knowledge building in AI that considers the processes and roles involved. This approach takes a comprehensive view of the entire AI project from understanding the need, translating that need into tasks, identifying and preparing the data, applying methods, and evaluating the results.

Cite this Paper

BibTeX
@InProceedings{pmlr-v141-engel21a, title = {AI is not Just a Technology}, author = {Engel, Claudia and Coleman, Nicole}, booktitle = {Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop}, pages = {23--28}, year = {2021}, editor = {Bischl, Bernd and Guhr, Oliver and Seibold, Heidi and Steinbach, Peter}, volume = {141}, series = {Proceedings of Machine Learning Research}, month = {14 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v141/engel21a/engel21a.pdf}, url = {https://proceedings.mlr.press/v141/engel21a.html}, abstract = {Reporting on our experiences introducing a broad range of staff of academic libraries to AI, we suggest that training in practical applications of AI requires more than learning the technology. AI projects in libraries require contributions by computing specialists, subject specialists, metadata librarians, conservators, and others; each bringing different expertise and competencies to the project. We offer an integrated approach to knowledge building in AI that considers the processes and roles involved. This approach takes a comprehensive view of the entire AI project from understanding the need, translating that need into tasks, identifying and preparing the data, applying methods, and evaluating the results.} }
Endnote
%0 Conference Paper %T AI is not Just a Technology %A Claudia Engel %A Nicole Coleman %B Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop %C Proceedings of Machine Learning Research %D 2021 %E Bernd Bischl %E Oliver Guhr %E Heidi Seibold %E Peter Steinbach %F pmlr-v141-engel21a %I PMLR %P 23--28 %U https://proceedings.mlr.press/v141/engel21a.html %V 141 %X Reporting on our experiences introducing a broad range of staff of academic libraries to AI, we suggest that training in practical applications of AI requires more than learning the technology. AI projects in libraries require contributions by computing specialists, subject specialists, metadata librarians, conservators, and others; each bringing different expertise and competencies to the project. We offer an integrated approach to knowledge building in AI that considers the processes and roles involved. This approach takes a comprehensive view of the entire AI project from understanding the need, translating that need into tasks, identifying and preparing the data, applying methods, and evaluating the results.
APA
Engel, C. & Coleman, N.. (2021). AI is not Just a Technology. Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, in Proceedings of Machine Learning Research 141:23-28 Available from https://proceedings.mlr.press/v141/engel21a.html.

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