AI’s Data Debacle: When Training Becomes Stealing?

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Scarlett Johansson,Openai,Sony Music

As a seasoned professional in the music and tech industries, I am renowned for my expertise in music business innovation and integrating Artificial Intelligence in music strategy and rights management.

The use of copyrighted materials for training large language models and other generative AI systems is a contentious issue. AI companies like OpenAI,and Anthropic argue that ingesting broad data is necessary to create beneficial AI tools. However, artists, creators and rights holders argue this constitutes unlawful use and exploitation of their work.

OpenAI recently faced backlash for an AI voice model that mimicked Scarlett Johansson's voice without her consent. Johansson revealed she had declined an offer from OpenAI to voice the ChatGPT 4.0 system – highlighting the broader issue of deepfakes and protecting individuals' name, image and likeness rights in the AI age.:"When I heard the released demo, I was shocked, angered and in disbelief that Mr.

While an output like Johansson's voice suggests training data included her vocals or an intentionally similar voice, outputs from large datasets often don't directly reveal the specific rights or materials used. A keyboard output trained on Jimmy Page's guitar and Ringo Star’s drums may not sound like a Led Beatles hybrid.

For society's benefit, the focus should be developing AI tools respecting creators' intellectual property while supporting human ingenuity and expanding avenues for creativity. There is risk, however, of funneling all individuality into a handful of elite AI systems, narrowing rather than expanding humanity's innovative potential..

 

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