Open Source AI Definition – Weekly update Mar 18

Comments on draft 0.0.6 from the forum

• Point raised by participant that training data has been listed both as optional and a precondition. This might cause confusion as it is unclear whether we should have the right to access training data or know what training data was used for the model
  • OSI has added to a line to the checklist about the data transparency requirements.
• To contribute, read the new draft here 

Moving on to next steps! Town hall this Friday

• We’ll discuss the next steps:
  • Focus on the availability of the required components (granted by the results of the working groups) and make a list of the legal documents they use
  • This is to test the current draft Definition and edit accordingly
• Click here to access the town hall meeting on Friday 22d of March. 

Comments on definitions under “What is open source AI?”

• New definition of code suggested so the model architecture is not an overlapped subset of training, validation, and testing code. Comments point out that without a defined architecture, the training, validation, and testing code cannot load a model correctly.
• New definition of model suggested as the model parameters and weights is argued to be the same. 

Still strong debate about access to training data 

• There is a fear that this will harm the ecosystem in the long run, as the original work of the model never can be “forked” to improve the model itself.

Click Here to View Original Source (opensource.org)