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OpenAI & The New York Times: A Wake-Up Call For Ethical Data Practices

Jan 31, 2024 - forbes.com
The New York Times has filed a federal lawsuit against OpenAI, accusing the company of copyright infringement for using its articles to train AI technologies like ChatGPT. This case highlights the ongoing tension between AI development and copyright law, with OpenAI arguing that its use of copyrighted material falls under "fair use." However, the author argues that OpenAI is violating key ethical data principles, including agency, fairness, and transparency, and that the company's practices could threaten the survival of publishers and the free press.

The author suggests that OpenAI and other tech companies should adopt clear, transparent rules and ethical data principles, including respecting user privacy and data usage. They also propose that companies should pursue fair, transparent licensing agreements with publishers, rather than using their content without permission. The author predicts that the New York Times will likely prevail in the lawsuit and that this case could serve as a wake-up call for the tech industry to respect copyright laws and ethical data principles.

Key takeaways:

  • The New York Times has filed a lawsuit against OpenAI, alleging copyright infringement for using its articles to train AI technologies like ChatGPT.
  • OpenAI has been accused of violating key ethical data principles: agency, fairness, and transparency. They have been training their models on data without user consent and not being transparent about their data sources.
  • OpenAI's defense is that their training is 'fair use' and they provide an opt-out feature, but the author argues that their practices are not 'fair use' and expects the New York Times to prevail in the lawsuit.
  • The author suggests that companies should follow Apple's example of pursuing fair, transparent licensing agreements with publishers, and that OpenAI, after raising $13 billion from Microsoft, can afford to settle in this case and others like it.
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