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#Debian classify the kind of #AI systems that the #OSI's #OSAID defines as #opensource, as #ToxicCandy: https://salsa.debian.org/deeplearning-team/ml-policy/-/blob/master/ML-Policy.rst

Without training data you cannot ecercise the freedom to study a #ML system and your ability to modify it is severely limited to fine tuning.

Which is like to say that windows is open source because you can tweak the registry.

For these reasons some open source developers are already moving beyond OSI: https://opensourcedeclaration.org

You are welcome to join!

It's not just matter of securing the #OSD, but to update it with a truly open process, with all developers, artists, musicians, data scientists... who contribute their time and valuable skills to open source: https://opensourcedefinition.org/wip/

@mawhrin @tante @biocrusoe


#SALAMI #AI #ML Yet another reason to make "training" data public, even if (or just because?) the results are not (always) just copies of them: FLOSS developers' *moral right* to see their work acknowledged https://justine.lol/history @rms
#AI #salami #ml


Oh, that is beautiful! A tool to confuse AI models stealing your copyrighted images. It is called glaze. You run your pictures through it before uploading somewhere. That is a start until laws are enforced.

#ml #ai #ethics

https://glaze.cs.uchicago.edu/guide.html
#AI #ethics #ml

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