Getting open-source and artificial intelligence (AI) on the same page isn't easy, as attested by the Open Source Initiative's ongoing efforts to create a consensus on an open-source AI definition.
The Open Source AI Definition outlines four fundamental freedoms for AI systems: the ability to use, study, modify, and share the system, which is crucial for their classification as 'open source'.
The OSI's framework acknowledges the practical reality of sharing training data by asking for 'sufficiently detailed information' rather than complete datasets, attempting to balance transparency and practicality.
Some critics argue that without full access to data, open-source AI lacks transparency and reproducibility, reinforcing the belief that it could remain confined to a small niche.
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