Will the rise of AI spell the end of intellectual property rights?

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Algorithms’ use of copyrighted material and the question of ownership rights for generated content have the potential to set IP and generative AI on a collision course

Scarlett Johansson recently heard herself in artificial intelligence. After turning down a request from OpenAI chief executive Sam Altman to voice ChatGPT, she said the company’s new voice assistant Sky sounded a lot like her. “When I heard the released demo, I was shocked, angered and in disbelief that Mr. Altman would pursue a voice that sounded so eerily similar to mine that my closest friends and news outlets could not tell the difference,” she said in a statement.

Let’s say that an engineer – tasked with creating a tool to take apart a wooden crate – comes up with a crowbar, and after testing different prototypes, sends the final specification to a design engineer. The marketing team then brands her tool as “The Crow.” There are three types of IP available: a patent , a design patent and a trademark .

A traditional algorithm takes an input, manipulates it according to specific instructions, and produces an output, much like a recipe. A machine-learning algorithm, on the other hand, is provided with many examples of inputs and its corresponding output, and tries to figure out the recipe to use itself. This requires huge amounts of data to “train” models; the more data that are used for training, the better the model will be in predicting an output from a new input.

 

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