Dotdash Meredith partners with OpenAI for AI integration

Dotdash Meredith will license its content to ChatGPT and collaborate with OpenAI on new AI features as part of the deal.

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Dotdash Meredith, a prominent publisher overseeing titles like People and Better Homes & Gardens, has struck a deal with OpenAI, marking a big step in integrating AI technology into the media landscape. The agreement involves utilising AI models for Dotdash Meredith’s ad-targeting product, D/Cipher, which will enhance its precision and effectiveness. Additionally, licensing content to ChatGPT, OpenAI’s language model, will expand the reach of Dotdash Meredith’s content to a wider audience, thereby increasing its visibility and influence.

Through this partnership, OpenAI will integrate content from Dotdash Meredith’s publications into ChatGPT, offering users access to a wealth of informative articles. Moreover, both entities will collaborate on developing new AI features tailored for magazine readers, indicating a forward-looking approach to enhancing reader engagement.

One key collaboration aspect involves leveraging OpenAI’s models to enhance D/Cipher, Dotdash Meredith’s ad-targeting platform. With the impending shift towards a cookie-less online environment, the publisher aims to bolster its targeting technology by employing AI, ensuring advertisers can reach their desired audience effectively.

Dotdash Meredith’s CEO, Neil Vogel, emphasised the importance of fair compensation for publishers in the AI landscape, highlighting the need for proper attribution and compensation for content usage. The stance reflects a broader industry conversation surrounding the relationship between AI platforms and content creators.

Why does it matter?

While Dotdash Meredith joins a growing list of news organisations partnering with OpenAI, not all have embraced such agreements. Some, like newspapers owned by Alden Global Capital, have pursued legal action against OpenAI and Microsoft, citing copyright infringement concerns. These concerns revolve around using their content in AI models without proper attribution or compensation. These contrasting responses underscore the complex dynamics as AI increasingly intersects with traditional media practices.