ChatGPT, Google Gemini and other AI models are using your data for training - here's how to stop it

The article highlights that user interactions with major AI tools generate significant data, raising critical privacy concerns about how this information is utilized for model training. It reveals a fragmented landscape where providers handle data differently, ranging from automatic inclusion to strict separation, leaving users navigating complex and often opaque policies. This variability underscores the lack of standardized data governance across the artificial intelligence industry. Readers are guided through specific opt-out mechanisms for several prominent platforms, demonstrating that while some services like Claude avoid training by default, others such as Deepseek collect extensive data with no opt-out option. The text emphasizes that transparency varies widely, with some companies offering easy privacy controls while others retain broad rights to use inputs, including flagged or reported content, for improving their algorithms without explicit user consent. This content is highly relevant to open data because it illustrates the tension between proprietary AI development and individual privacy rights. As AI models increasingly rely on vast datasets to improve, understanding these data flows is essential for advocates of open data standards. It highlights the urgent need for clearer regulations and ethical guidelines regarding data ownership, ensuring that the benefits of open information do not come at the cost of unchecked user surveillance or non-consensual data harvesting.

Source: tomsguide.com
Published on 2025-04-12

ChatGPT, Google Gemini and other AI models are using your data for training - here's how to stop it

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