Publishers oppose Google using content for ‘fine-tuning’ AI models
Google AI Overview answer to ‘what is fine-tuning in ai’ query News publishers have disputed a claim from Google that using their content to “fine-tune” its AI models contains “no realistic prospect of harm” to them. ‘Fine-tuning’ enables an AI model that has already been trained to add new data to respond to a specific prompt or task. Google told the UK’s Competition and Markets Authority that there is “no realistic prospect of harm to publishers in respect of training/fine-tuning of AI models for search and search generative AI features. “Fine-tuning helps the model learn how to process information rather than what current information to display; this internal processing does not create a substitute for publisher websites. A model relying solely on patterns learned during training would be static, often outdated, and prone to hallucinations.” The CMA has said it is not minded to provide separate controls for fine-tuning but publishers asked it to reconsider. The CMA has published responses from several major news organisations to its consultation relating to proposed conduct requirements to be …
