How to keep your conversations with ChatGPT, Gemini, Copilot or Claude as private as possible

Editor's take

Major AI chatbot providers are offering users more granular control over their conversation data, aiming to address growing privacy concerns. This move allows individuals to opt out of having their interactions used for model training, a significant shift from earlier, more opaque data practices.

The implications are far-reaching, particularly for businesses and individuals entrusting sensitive information to LLMs like OpenAI's ChatGPT, Google's Gemini, Microsoft's Copilot, and Anthropic's Claude. The ability to prevent data leakage impacts competitive advantages, proprietary information, and personal data security, forcing a re-evaluation of how and where these tools are deployed.

Future developments will likely center on the transparency and enforceability of these privacy settings. Users will need to monitor whether these controls are truly effective and whether companies continue to prioritize user privacy over data acquisition for continuous model improvement. The emergence of robust, independently verifiable privacy audits for LLM training data would be a critical next step.