TIME and OpenAI have entered into a multi-year collaboration that grants the AI developer access to TIME’s comprehensive archive of historical and current articles. This initiative aims to bolster OpenAI’s models and augment TIME’s journalistic capabilities.
The new deal adds to similar content licensing agreements with major publishers such as the ones recently signed with The Atlantic and Vox Media, News Corp, and the Financial Times.
Access to TIME’s Archives for AI Training
The partnership will enable OpenAI to harness TIME’s extensive archive, which spans over a century of journalism. These materials will be used to refine OpenAI’s models.
Users interacting with ChatGPT will be presented with content from TIME, complete with proper attribution and links to the original pieces on Time.com, thereby ensuring the dissemination of credible information while driving traffic to TIME’s website.
Integrating AI Technologies in Journalism
As with the other deals with publishers, TIME will be able to leverage OpenAI’s tools for content production. Mark Howard, TIME’s Chief Operating Officer, said that this collaboration aligns with TIME’s mission to expand global access to trusted information through innovation. He said the partnership will allow TIME to modernize its journalistic practices as technology evolves.
Broader Implications for AI in the News Industry
The alliance between OpenAI and TIME invites scrutiny regarding the future role of AI in content creation. It offers potential for innovation and expanded access to information but also raises questions about intellectual property rights, fair compensation for content creators, and the changing role of human journalists.
According to research by the Reuters Institute, audiences show varying levels of comfort with AI in the news, often starting with skepticism regarding generative AI in journalism. However, acceptance increases when AI is used to support rather than replace human journalists, such as in automating tasks like transcription and formatting.
Last Updated on November 7, 2024 3:45 pm CET
