# Welcome diverse approaches to training data within a unified Open Source AI Definition **URL:** \ **Category:** Open Source AI\ **Created:** [August 30, 2024, 5:24pm UTC](https://discuss.opensource.org/t/welcome-diverse-approaches-to-training-data-within-a-unified-open-source-ai-definition/531 "2024-08-30T17:24:57Z")\ **Posts on this page:** 1\ **Showing post:** 7
**Author:** ![Alek\_Tarkowski](https://yyz1.discourse-cdn.com/flex011/user_avatar/discuss.opensource.org/alek_tarkowski/32/80_2.png) [@Alek\_Tarkowski](https://discuss.opensource.org/u/Alek_Tarkowski)\ **Post date:** [September 4, 2024, 10:26am UTC](https://discuss.opensource.org/t/welcome-diverse-approaches-to-training-data-within-a-unified-open-source-ai-definition/531/7 "2024-09-04T10:26:11Z")
> [@arandal](#): > > **In addition, the system may require that all source data must be made available under licenses that comply with the Open Source Definition. If the system permits proprietary source data, it must grant the right and provide the means to modify the system to use only source data that complies with the Open Source Definition.** I also want to comment on this idea - it sounds like an “upstream copyleft” clause, that would apply in cases where a given system is rebuilt using different data. I think that it’s conceptually interesting, but such a mechanism could not rely on traditional copyleft frameworks - Open Future has commissioned a study that shows general challenges with copyleft in the space of AI development: [The Impact of Share Alike/CopyLeft Licensing on Generative AI – Open Future](https://openfuture.eu/publication/the-impact-of-share-alike-copyleft-licensing-on-generative-ai/) (I hope that I am understanding correctly your idea) --- _[View the full topic](https://discuss.opensource.org/t/welcome-diverse-approaches-to-training-data-within-a-unified-open-source-ai-definition/531)._