Generative AI Impacting News Industry: Tech Giants’ Dealings and Government Response

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News companies are seeking negotiations with language model providers such as ChatGPT to address the use of their content. The rise of bot-produced content online, fueled by services like OpenAI’s ChatGPT and Google’s Bard, has prompted various industries to assess the impact on their operations.

These language models are trained on massive datasets, often composed of billions of pieces of online information, including data from news websites. Despite the increasing adoption of generative AI-based services, governments worldwide are still deliberating on the regulations that should govern their use.

In a bid to secure fair deals, news organizations are following the lead of the media industry, which has called out tech giants like Meta Platforms and Alphabet for benefiting from news content on their platforms without adequately sharing profits. US lawmakers are exploring the Journalism Competition and Preservation Act, which could enable smaller news outlets to collectively negotiate advertising rates with tech companies like Google and Facebook.

Amidst these developments, news companies are venturing into collaborations with tech firms to leverage generative AI for their content. The Associated Press recently struck a deal with OpenAI to license a portion of its news archive for AI training purposes. OpenAI also committed $5 million to the American Journalism Project to explore using AI to support local news.

As the landscape of AI-driven content evolves, discussions on regulations, fair partnerships, and industry practices continue to shape the future of online information dissemination.

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Aniket Patel
Aniket Patel
Aniket is a skilled writer at ChatGPT Global News, contributing to the ChatGPT News category. With a passion for exploring the diverse applications of ChatGPT, Aniket brings informative and engaging content to our readers. His articles cover a wide range of topics, showcasing the versatility and impact of ChatGPT in various domains.

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