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Defining Open Source in the AI Era
This chapter explores the intricate definition of open source within the context of artificial intelligence, highlighting tensions between traditional definitions and current practices. It critiques the Open Source Initiative's recent attempts to create a clear framework, arguing that corporate interests often compromise open source principles, especially regarding access to source code and training data. The conversation also addresses the challenges posed by SaaS models, suggesting that transparency and bias understanding in AI depend significantly on the data used in training these models.