On Wednesday 10 April 2019, althio wrote: > > A typical "learned" model, based on a ML algorithm and a substantial > extract of OSM data: > That seems like a Produced Work to me. > > Hence... > [...]
Maybe i have not been clear enough with my comment - approaching this matter based on gut feeling and wishful thinking (seems like...) without considering the practical effects is a very bad idea. You can design 'learning' algorithms to essentially replicate the training data so to just sweepingly declare any output of algorithms as having no copyright connection to training data is a recipe for desaster (if you subscribe to the spirit of the OdbL) or a recipe for success (if your goal is to abolish share-alike and attribution through the back door - which of course many corporate OSM data users would find highly desirable). And as also said concentrating exclusively on the produced work vs. derivative database is not really helpful, in particular since we have established a long time ago that using a produced work to reconstruct semantic information of substantial volume will not set you free of the requirements of the ODbL regarding derivative databases. So even if you have a basis for considering the algorithm trained with OSM data a produced work, that does not mean that the output of this algorithm, which might be data of exactly the same type as in the OSM database, is not a derivative database. If you need an example: Take a translator for geographic names trained using OSM data. This translator in practical use will spit out names or name components identical to those from the OSM database (if it does not it'd be pretty useless). These names - in sufficient volume - evidently form a derivative database IMO - even if they are not the result of a literal copy but result from 'knowledge' encoded in a neural network. When considering this subject, maybe think of it less as a question of copying data, think of it more as a process of mimicry. -- Christoph Hormann http://www.imagico.de/ _______________________________________________ legal-talk mailing list legal-talk@openstreetmap.org https://lists.openstreetmap.org/listinfo/legal-talk
