GAO Report: Privacy Tech Can Make AI Safer — Here’s What That Means for You

GAO Report: Privacy Tech Can Make AI Safer — Here’s What That Means for You

Every time you ask an AI chatbot a question or let a voice assistant schedule a meeting, you’re handing over data. How that data is stored, used, and shared isn’t always clear. A recent report from the U.S. Government Accountability Office (GAO) confirms what many privacy researchers have been saying: the best way to protect users during the rapid adoption of AI is to build privacy protections directly into the technology.

The report, released in May 2026, focuses on privacy-enhancing technologies (PETs) as a critical tool for organizations that want to adopt AI without exposing sensitive information. While the GAO’s audience is primarily government agencies and large organizations, the findings have direct implications for anyone using AI-powered services.

What Happened

The GAO report examines how federal agencies and private companies can adopt AI while minimizing privacy risks. It highlights three PETs in particular:

• Differential privacy – A method that adds controlled noise to data so that individual records cannot be identified. Apple and Google have used it for years in their analytics and keyboard prediction.
• Federated learning – Instead of sending your data to a central server, models are trained locally on your device. Only the model updates (not your raw data) are shared. This is what powers Gboard’s next-word suggestions and Apple’s improved Siri.
• Homomorphic encryption – Allows computation on encrypted data without ever decrypting it. It’s still computationally heavy, but it’s advancing.

The GAO suggests that these PETs can help organizations adopt AI “in a manner that protects privacy” – but notes that adoption is still limited, often due to technical complexity or performance trade-offs. Importantly, the report does not make specific consumer recommendations; its focus is on government and industry.

Why It Matters for You

The reason this matters is simple: as AI becomes cheaper and more powerful, companies have strong incentives to collect as much data as they can. PETs offer a way to reverse that incentive – they make it possible to deliver useful AI features without needing to see your raw conversations, photos, or location history.

For example, when you use a chat tool that claims to practice on-device processing (federated learning), your conversation never leaves your phone. When a service says it uses differential privacy, even the aggregate statistics they publish cannot be traced back to you.

Of course, the presence of a PET doesn’t automatically mean your data is safe. It depends on how it’s implemented. But the GAO’s attention to these technologies signals that they are moving from academic experiments to practical, government-approved tools. That matters for consumers because it sets a baseline that responsible companies can – and likely will – adopt.

What You Can Do

You don’t need to become a cryptography expert to benefit from PETs. Here are a few concrete steps:

• Look for explicit mentions of privacy tech in AI products. When choosing a voice assistant, note-taking app, or photo organizer, check the settings or privacy page. Phrases like “differential privacy”, “on-device processing”, or “end-to-end encrypted AI” are good signs. If a company doesn’t mention how it protects your data, ask.
• Review (or skim) the privacy policy. You don’t need to read the whole thing, but search for keywords like “collect”, “share”, or “encrypt”. If the policy says they process data locally, that’s a positive. If it says they send everything to the cloud for training, you know your data is at risk.
• Prefer on-device AI when available. Many modern smartphones now run models locally for tasks like smart replies, photo editing, and transcription. On-device AI means your data never leaves your device. For sensitive tasks – like drafting a private email or analyzing health data – this is the safest option.
• Be skeptical of “free” AI services that require broad data collection. If a service seems too good to be free, your data may be the product. Look for paid options that prioritize privacy, or open-source tools you can run locally.

The GAO report does not name specific companies or products, but its findings reinforce that these protections are both possible and necessary. As a consumer, you can choose the services that voluntarily adopt them. The more people do, the faster industry standards will shift.

Sources

• U.S. Government Accountability Office. Privacy-Enhancing Technologies: Key to Safer AI Adoption. Released May 2026. (Report available at gao.gov)
• MeriTalk. “GAO: Privacy Tech Could Be Key to Safer AI Adoption.” May 20, 2026.