The New York Times has sued OpenAI and Microsoft, alleging that their artificial intelligence models were trained on millions of copyrighted articles without permission or compensation. This legal action highlights a critical tension in the development of generative AI, where vast amounts of protected data are used to create substitute products that undermine the original journalistic investment. The core implication concerns the legitimacy of using copyrighted creative works for training machine learning models without explicit consent. By demonstrating that AI chatbots can reproduce specific texts, the lawsuit challenges the industry's current practices regarding data sourcing. It underscores the growing demand from content creators to be recognized and paid when their intellectual property contributes to commercial AI technologies. This case is highly relevant to open data because it questions the boundary between open information and protected intellectual property. It forces a reevaluation of how data can be ethically sourced for public benefit versus private gain. Ultimately, it establishes a precedent for balancing innovation with respect for copyright, ensuring that the advancement of open technology does not come at the expense of creators' rights.
Source: vanguardia.com.mxPublished on 2023-12-28