If you’ve used ChatGPT, an image generator, or any other AI tool in the past year, there’s a good chance your conversations and prompts have been collected to train future models. That practice is now under serious legal scrutiny—and it matters for your privacy.

What Happened

For years, privacy compliance for tech companies focused on how they handle personal data: transparency, consent, breach notification. But with the rapid rise of generative AI, regulators and courts are asking a different question: where did the training data come from, and was it lawfully obtained?

In June 2026, The National Law Review reported that training data sources are becoming a central legal risk. Lawsuits are increasing, and regulators in the EU and several US states are investigating whether AI companies violated privacy laws—like the GDPR and the California Consumer Privacy Act (CCPA)—by scraping public data or using user interactions without clear consent. Copyright claims are also piling up, with artists, writers, and publishers arguing that their works were used without permission.

Companies now face potential fines, court orders to delete models, or even injunctions that could disrupt the availability of popular AI tools. The question is no longer just “do you have a privacy policy?” but “did you legally obtain the data that powers your product?”

Why It Matters for Everyday Users

You might think this is only a corporate legal headache. It’s not. Here’s how it touches you:

  • Your data may be part of training sets. When you use a free AI tool, your inputs often become part of the training data. Even if you don’t share sensitive information, your prompts, preferences, and patterns are being used. Some companies allow you to opt out, but many don’t make it obvious.
  • Consent is murky. Many privacy policies bury the fact that data will be used for training in vague legalese. You may have agreed to it without knowing.
  • Copyright infringement could affect what AI tools can do. If courts rule that training on copyrighted content is illegal, some models might be retrained or pulled. That could change the capabilities of the AI tools you rely on.
  • Pending regulations could strengthen your rights. In the US, states like Colorado, Connecticut, and California are actively proposing AI governance laws. In Europe, the AI Act already imposes obligations on training data transparency. These could give you more control—but they also may take years to implement fully.

What You Can Do to Protect Your Data

You don’t need to stop using AI, but you can take a few practical steps:

  1. Check the terms of service and privacy policy of each AI tool you use. Look for sections titled “data usage,” “training,” or “machine learning.” Some platforms let you disable training on your data—opt out if you can.
  2. Avoid sharing personal or sensitive information in AI prompts. Even if you delete the chat, the company may retain logs for training. Treat every prompt like a public post.
  3. Use incognito or anonymous modes if the tool offers them. Some services let you use AI without logging in, which may reduce data collection.
  4. Stay informed about lawsuits and regulations. Major cases, like those against OpenAI or Stability AI, are still unfolding. Their outcomes could reshape what companies can and cannot do with user data.
  5. Support clearer laws. If you’re in a jurisdiction with proposed AI governance bills, consider providing public comment or contacting your representatives. The legal landscape is still being written.

Sources

  • National Law Review. “From Privacy Compliance to AI Governance: Why the Source of Training Data Is Becoming a Central Legal Risk.” June 4, 2026. Link
  • For a broader overview of state-level AI regulation, see “AI Regulatory Roundup: Recent Developments in Colorado, Connecticut, and California,” Kelley Drye & Warren LLP, May 8, 2026.

This article is for informational purposes and does not constitute legal advice.