The article discusses the growth of AI and its impact on various sectors, including the legal uncertainties and potential risks associated with it. It focuses on the critical intellectual property (IP) issues related to using or developing AI platforms, including protecting underlying algorithms and code through patents, trade secrets, copyright, and other IP rights.
Additionally, it explores the ownership and protection of data used to train AI models, licensing and revenue-generating models, usage of open-source software and components, and ownership and protection of outputs from an AI. The article examines these issues in three categories: AI training input, the underlying AI algorithms and model, and the output produced by an AI model. It also discusses the different protective options available to AI creators and how to use each best to protect their interests.
Source: Mondaq
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