What Is Inferred Data? How AI Puts Your Privacy at Risk (and What to Do About It)

You’ve probably seen it happen: you mention something in casual conversation, and an ad for that exact product appears on your phone minutes later. Creepy, yes – but that’s just the surface. The real story is that companies aren’t just collecting what you type or tap. Using AI, they can now infer far more private details from the digital breadcrumbs you leave behind, often without you knowing.

What Just Happened? The Rise of AI-Powered Inferred Data

Legal experts and privacy analysts have been sounding the alarm. As covered by Dykema and Bloomberg Law, the core issue is that AI tools can now piece together seemingly harmless data points – your browsing history, purchases, location, even the pace at which you scroll – to predict highly sensitive attributes: your health status, income bracket, political leanings, or religious beliefs.

This isn’t science fiction. A Bloomberg Law report notes that AI models can infer sensitive categories like race, sexual orientation, or medical conditions with high accuracy, even when you never disclose them. Dykema’s analysis warns that such inferred data often falls outside the scope of current privacy laws because it isn’t “collected” directly from the user in the traditional sense. That legal gray area gives companies and data brokers room to operate without clear consent.

Why It Matters for Consumers

The risks go beyond creepy ads. Here are concrete ways inferred data can affect you:

  • Insurance discrimination. An insurer might use your credit card purchases – vitamins, gym memberships, organic food – to infer your health status and adjust premiums or deny coverage.
  • Employment screening. Employers could use inferred personality traits or political views from your social media activity to influence hiring decisions.
  • Price targeting. Retailers can infer how much you’re willing to spend based on past purchases and show you higher prices.
  • Loss of autonomy. You lose control over what’s known about you. Even if you carefully avoid sharing personal information, AI can fill in the blanks.

Existing privacy regulations like the EU’s GDPR and California’s CCPA give you rights over data you voluntarily provide or that companies collect directly. But they weren’t designed to handle data that is created by AI inference. Lawmakers and regulators are starting to scrutinize this gap – but change is slow.

What You Can Do Right Now

You can’t stop AI inference entirely, but you can make it considerably harder for companies to build a detailed profile of you.

  1. Review app permissions. Go through your phone’s settings. Does a flashlight app really need access to your contacts? Revoke permissions for apps that don’t need location, camera, or microphone to function.
  2. Use privacy-focused browsers and search engines. Switch to browsers like Firefox with tracker blocking, or Brave. For search, try DuckDuckGo or Startpage. These limit the data points companies can collect.
  3. Opt out of data sales. Under the CCPA (and similar laws in other states), you have the right to tell companies not to sell your personal information. Many sites have a “Do Not Sell My Personal Information” link in the footer. Use it.
  4. Consider a VPN, but know its limits. A VPN hides your IP address and encrypts your connection, making location inference harder. It won’t stop tracking via cookies or logins, but it helps.
  5. Reduce social media sharing. Post less often, and limit old posts to “Only Me.” AI inference often feeds on aggregated public data from years ago.
  6. Use ad blockers and privacy extensions. Tools like uBlock Origin and Privacy Badger can block many tracking scripts used to gather behavioral data.

None of these steps are silver bullets. But each one reduces the amount of raw data available for inference, and collectively they shrink your digital footprint significantly.

Conclusion

Inferred data is not going away. As AI gets better, the problem will grow. The best defense is awareness and consistent, low-friction privacy habits. Start with one or two of the steps above this week. The less data you leave behind, the less AI can piece together about you.

Sources

  • AI-Powered Inferred Data Poses New Threats for Consumer Privacy – Dykema (accessed via Google News)
  • AI-Powered Inferred Data Poses New Threats for Consumer Privacy – Bloomberg Law News (accessed via Google News)