When we broaden the perspective to cover also items that are generated in the machine learning process, we can see that the emphasis of non-protected components increase.
The resulting graph maps the spectrum of IP protection to AI as a hybrid asset. It can be used when identifying for instance the legal and business needs or painpoints embedded in the machine learning process. In the following, we will use the graph to pinpoint certain aspects relating to AI
A initial in-depth look about the interaction between Open Source and AI may be found at Open Source AI: Building Blocks for a Definition.
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