In the world of artificial intelligence, the shortage of high-quality training data represents a growing challenge. OpenAI would take a controversial approach to overcome this obstacle: transcribe and use over a million hours of YouTube videos to train its language model GPT–4. With many experts wondering if this does not violate the copyright of whoever wrote and shot those videos.
OpenAI: One million hours of YouTube videos to train GPT-4
At the desperate for training dataOpenAI would develop the audio transcription model Whisper to transcribe a vast amount of YouTube videos. According to the New York Times (via The Verge), OpenAI was aware of the dubious legality of this practice, but considered it a “correct use”. The New York newspaper, which is suing the company for violating the newspaper’s copyright, reports that the president Greg Brockman he would have been personally involved in the collection of the videos used.
The spokeswoman Lindsay Held stated that OpenAI curates datasets”unique” for each model, using “numerous sources including publicly available data and non-public data partnerships“. But the article reveals that OpenAI had run out of supplies of useful data in 2021prompting her to evaluate YouTube video, podcast, and audiobook transcription after reviewing other resources such as Github code and Quizlet content.
Google commented saying that it has “seen unconfirmed reports” about GPT-4 training on YouTube. However, he explains that, to train the own AI Gemini model, would collect transcripts from YouTube in accordance with creator agreements, while prohibiting it “scraping or unauthorized downloading of content”.
Between AI and copyright
OpenAI’s choice to transcribe and use YouTube videos to train GPT-4 raises legal and ethical questions. Although the company considers this to be “fair use,” this practice may represent a violation of YouTube’s copyright and usage policies.
As AI companies look for solutions to address the shortage of training data (in addition to OpenAI and Google, there is also Meta and more), it remains interesting to understand how to manage intellectual property rights and privacy. A topic that, we are sure, will be talked about again.
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Source
The New York Times