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? :)
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.  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.
>  travelogue - https://sites.nd.edu/emorgan/2018/12/fantastic-futures/
>  ai4lib – https://groups.google.com/forum/#!forum/ai4lib
> Eric Lease Morgan
> University of Notre Dame