The following paper may be of interest. It has some useful background as well as views from librarians and others.

Cox, A.M., Pinfield, S. and Rutter, S. (2018) The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech. ISSN 0737-8831

A free (repository) copy is available here:-
http://eprints.whiterose.ac.uk/137254/7/The_intelligent_library_11082018_anon.pdf

The paper "seeks to capture a snapshot of views in 2017 on the potential impact of AI on academic libraries and to reflect on its implications for library work, based on interviews with 33 library directors, library thought leaders and experts from related areas".

Ken
Ken Chad Consulting Ltd http://www.kenchadconsulting.com Tel: +44(0)7788727845
Twitter: @kenchad | Skype: kenchadconsulting |Linkedin: www.linkedin.com/in/kenchad
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ResearchGate: https://www.researchgate.net/profile/Ken_Chad


-----Original Message-----
From: Code for Libraries [mailto:[log in to unmask]] On Behalf Of Tim Thompson
Sent: 11 December 2018 16:50
To: [log in to unmask]
Subject: Re: [CODE4LIB] ai in libraries

Thank you, Eric, for sharing this. At least for supervised machine learning
algorithms, a training set is needed--and the labels applied to it are
certainly a form of metadata. In fact, I think it makes sense for libraries
to start devoting staff time to developing robust training sets to support
AI-driven data processing and analysis workflows. This seems like an area
in which Technical Services units could contribute.

Also, if metadata is not necessary, why would we use machine learning to
create and manage it? :)

Best regards,
Tim

--
Tim A. Thompson
Discovery Metadata Librarian
Yale University Library

On Mon, Dec 10, 2018 at 4:53 PM Eric Lease Morgan <[log in to unmask]> wrote:

> Last week I attended an artificial intelligence (AI) in libraries
> conference, and I've written the briefest of travelogues. [1] Some of my
> take-aways include:
>
> 1. Machine learning is simply the latest incarnation of AI, and
> machine learning algorithms are only as unbiased as the data used
> to create them. Be forewarned.
>
> 2. We can do this. We have the technology.
>
> 3. There is too much content to process, and AI in libraries can
> used to do some of the more mechanical tasks. The creation and
> maintenance of metadata is a good example. But again, be
> forewarned. We were told this same thing with the advent of word
> processors, and in the end, we didn’t go home early because we
> got our work done. Instead we output more letters.
>
> 4. Metadata is not necessary. Well, that was sort of a debate,
> and (more or less) deemed untrue.
>
> If you want to participate in AI for libraries-like discussions, then
> consider subscribing to ai4lib.
>
> [1] travelogue - https://sites.nd.edu/emorgan/2018/12/fantastic-futures/
>
> [2] ai4lib – https://groups.google.com/forum/#!forum/ai4lib
>
> --
> Eric Lease Morgan
> University of Notre Dame
>