How to Protect Your Data from AI Training Models

Lilu Anderson
Photo: Finoracle.net

Understanding AI Data Usage

The rise of AI-powered technologies has led to increased data consumption by tech companies. These firms use user data to train AI models, often opting users in by default. It's essential to understand how your data is used and how you can control it.

Opting Out on Major Platforms

Gmail

Gmail uses Smart Compose to predict text based on your emails. To opt out:

  • Desktop: Go to settings, select 'see all settings', find 'smart features and personalization', and uncheck the box.
  • Mobile: In the Gmail app, go to settings, tap 'Data Privacy', and turn off smart features.

Google Docs

Disable predictive text by opening a document, selecting 'tools', and unchecking smart features in 'preferences'.

LinkedIn

LinkedIn uses personal data for AI training. To opt out:

  • Go to settings, select 'data privacy', and toggle off 'data for generative AI improvement'.

Meta

Meta's opt-out process in the US is complex. Use the Instagram app to find the form under 'settings and privacy'. Note that deleting data requires proof of its usage.

X (formerly Twitter)

To stop data usage:

  • Desktop: Access 'settings and privacy', go to 'privacy and safety', and uncheck 'Grok'.
  • Mobile: Similar steps apply.

Snapchat

To prevent data usage by My AI:

  • iOS: Revoke location permission in phone settings, clear AI data in the app.
  • Android: Deny location permission, clear AI data similarly.

Final Thoughts

Protecting your data requires understanding and navigating complex settings. Stay informed about privacy policies and utilize available opt-out options to maintain control over your personal information.

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Lilu Anderson is a technology writer and analyst with over 12 years of experience in the tech industry. A graduate of Stanford University with a degree in Computer Science, Lilu specializes in emerging technologies, software development, and cybersecurity. Her work has been published in renowned tech publications such as Wired, TechCrunch, and Ars Technica. Lilu’s articles are known for their detailed research, clear articulation, and insightful analysis, making them valuable to readers seeking reliable and up-to-date information on technology trends. She actively stays abreast of the latest advancements and regularly participates in industry conferences and tech meetups. With a strong reputation for expertise, authoritativeness, and trustworthiness, Lilu Anderson continues to deliver high-quality content that helps readers understand and navigate the fast-paced world of technology.