AI and data privacy – how to use AI safely
Millions use AI services daily. Fewer consider what happens to the data they share. Here's what you should know.
Before you share anything with an AI service
Use this quick check before pasting text, documents or customer data. It helps separate low-risk everyday use from information that needs better agreements or a different tool.
- Is the text public or internal?
- Does it contain personal data, customer data, contracts or health information?
- Does the provider offer a data processing agreement, or are chats used for model training?
- Can you anonymise names, emails, customer numbers and other identifiers first?
Why privacy matters when using AI
When you ask an AI a question, your text is sent to the company's cloud servers for processing. This means everything you write — ideas, drafts, questions — leaves your device and is stored by the provider. Most major AI companies use this data to train and improve their models.
For everyday use — help with emails, general questions, creative writing — this is rarely an issue. But when using AI for work, sharing customer data, or asking sensitive questions, you should know what you're consenting to.
Privacy laws like GDPR apply in principle to anyone processing data about European citizens. In practice, compliance varies significantly among different AI companies.
Which AI services are safest?
Here's a comparison of the privacy policies of the five largest AI services:
| Service | Trains on input | GDPR | Data storage | Note |
|---|---|---|---|---|
| Claude Anthropic |
No (API) | Yes | USA | Does not train on API data. claude.ai users can opt out. |
| ChatGPT OpenAI |
Yes (opt-out) | Yes | USA | Trains on conversations by default. Disable in settings. |
| Gemini |
Yes (opt-out) | Yes | USA/EU | Uses data for product improvement. Can be disabled. |
| DeepSeek DeepSeek |
Yes | No | China | Chinese company. Data stored in China. No GDPR guarantee. |
| Mistral Mistral AI |
No (API) | Yes | EU (France) | European company, GDPR-certified, does not train on API data. |
Tips for safe AI use
VPN and AI – an extra layer of privacy
A VPN (Virtual Private Network) encrypts your internet traffic and hides your IP address. This means AI services won't see your real IP address, and your internet provider won't see which AI services you're using.
VPNs are particularly useful on public WiFi (cafés, hotels, airports) where traffic can be intercepted, and for those wanting an extra buffer between themselves and AI companies. A VPN isn't a complete privacy solution — what you write to the AI service is still stored by them — but it prevents unnecessary exposure along the way.
EU AI Act — what does it mean for Norwegian users?
The EU AI Act is the world's first comprehensive AI law, coming into force in August 2024. The law applies to all AI services used in the EU/EEA — including Norwegian users of ChatGPT, Claude, and Gemini.
Frequently asked questions about AI and privacy
Read also
How to use this page in practice
This page is written to help you make a concrete decision, not just read general AI information. Start by clarifying the task, the risk and how much you are willing to pay. Then compare the recommendation with today’s benchmark, the AI test and any relevant privacy or data requirements.
For personal use, it is often enough to try a free or low-cost option first. For work, customer content, documents or sensitive information, place more weight on control, source handling, language quality, stability and who processes the information. A good AI model is not only the one that scores highly on one day, but the one that gives reliable answers in your workflow.
HvilkenAI evaluates over 350 AI models and presents the most important signals without sponsored placements or affiliate ranking. Use the page as a starting point: test two or three options on the same task, check how much editing remains and choose only when you see which model actually saves time.
When to be extra careful
Be especially careful when the AI answer will be used in client work, hiring, finance, health, legal assessment or other work where mistakes can have consequences. In those cases, do not look only at price or top score; also consider control, data sharing, internal approval and how easy it is to explain why the tool was chosen.
A good choice is often the one with the lowest total risk: strong enough quality, clear limitations, reasonable cost and a workflow where humans still quality-check the result.