[OSM-legal-talk] OSM for training ML machines
Kathleen Lu
kathleen.lu at mapbox.com
Tue Apr 9 13:33:31 UTC 2019
My two cents:
I'm not sure what you mean by internal data structures. If OSM data is used
to train a ML algorithm, then I would think that the training inputs could
be a substantial extract (possibly a trivial transformation of an extract).
But what is trained would be an algorithm/weights, which I generally do not
think of as a database at all? But since it uses an OSM database, a
Produced Work seems the right concept:
"a work (such as an image, audiovisual material, text,
or sounds) resulting from using the whole or a Substantial part of the
Contents (via a search or other query) from this Database, a Derivative
Database, or this Database as part of a Collective Database."
-Kathleen
On Tue, Apr 9, 2019 at 5:06 AM Frederik Ramm <frederik at remote.org> wrote:
> Hi,
>
> is it a community consensus that, when someone uses OSM to train their
> machine learning "black box", the internal data structures built during
> learning constitute a derivative database? Or are there people who argue
> that somehow the "black box" can ingest OSM data at will and still
> remain 100% intellectual property of its operator?
>
> Further, assuming that we have a system that has ingested OSM by deep
> learning and we say that this means its internal database is ODbL, what
> would this mean for the output later produced by the same machine?
>
> Bye
> Frederik
>
> --
> Frederik Ramm ## eMail frederik at remote.org ## N49°00'09" E008°23'33"
>
> _______________________________________________
> legal-talk mailing list
> legal-talk at openstreetmap.org
> https://lists.openstreetmap.org/listinfo/legal-talk
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.openstreetmap.org/pipermail/legal-talk/attachments/20190409/8d6c805e/attachment.html>
More information about the legal-talk
mailing list