Protecting the Data that Fuels AI

Imagine the scenario that you are a corporation that has invested a lot of resources in obtaining labeled training data that could be used to achieve an AI solution. For instance, you have captured millions of images of objects on or around roadways which are labeled (each image is pre-associated with the identified object such as a “stop sign,” “pedestrian,” “traffic light,” or the like). This data set itself has clear value to the automated driving industry with regards to helping the AI driving the car more accurately recognize objects in the roadway.   Perhaps you want to license this dataset to companies developing automated driving technology, or perhaps you want to use it for developing your own automated driving technology. Whatever the case, you need to protect that dataset. What do you do? More specifically, what are the pros and cons of the protection tools available – both practical and legal.

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