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ChatGPT and other AI chatbots rely heavily on copyrighted news media, say publishers

Oct 31, 2023 - fastcompany.com
The News/Media Alliance, a trade group representing over 2,200 publishers, has accused AI companies of using copyrighted news material to train their chatbots without authorization. The group's research suggests that the datasets used to train large language models (LLMs) for AI tools like ChatGPT and Bard are significantly overweighted with content from news, magazines, and digital media sources. The group argues that this not only violates copyright laws but also diminishes the value of human-created content and threatens the sustainability of AI models.

The News/Media Alliance has submitted its findings to the U.S. Copyright Office and is urging AI creators to establish licensing agreements with news organizations or compensate publishers for the use of their content. This comes after several complaints from writers and artists about AI incorporating their work without acknowledgement or compensation. The group warns that the unauthorized use of copyrighted material could harm existing markets and deteriorate the quality of AI models over time.

Key takeaways:

  • The News/Media Alliance, representing over 2,200 publishers, accuses AI companies of using copyrighted news material to train their chatbots without authorization, violating intellectual property laws.
  • The group's research suggests that the datasets used to train large language models are significantly overweighted with content from news, magazines, and digital media sources, using it 5 to almost 100 times as frequently as other content.
  • The News/Media Alliance has submitted its findings to the U.S. Copyright Office’s study of A.I. and copyright law, and is encouraging AI creators to work out licensing agreements with news organizations or compensate publishers for the use of their content.
  • Other industries and individuals, including writers and artists, have also complained about AI systems using their copyrighted material without acknowledgement or compensation, highlighting the potential threat to income and sustainability in these professions.
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