Generative AI feels like talking to someone you trust. You write to it, it replies, and everything seems to stay on the screen. The catch is that many platforms record conversations to debug bugs, prevent abuse, and, in some cases, improve models (sometimes with opt-out options, other times not so clear).

That trail can live longer than you imagine, and if you share it from a work account or a "normal" chat, it can end up in analytics systems, internal reviews, or training datasets, depending on the service and your privacy settings.

The risk isn't just "AI is spying on you." The real risk is security: if you paste sensitive data into a conversation, you open the door to identity theft, financial fraud, impersonation, extortion, or doxxing. And even if your provider is reputable, no system is perfect, as there are leaks, unauthorized access, misconfigurations, and also human errors (for example, when part of the content is used for review or to improve security filters).

Furthermore, there's a factor that almost no one considers: when you share personal data, you don't control how it's "reused" afterward. A model trained or tuned with conversations can memorize fragments (especially if they're unique or repeated), and a third party could try to "extract" that information with malicious prompts. It's not science fiction: it's called data mining, and it's already a topic of research and mitigation in the world of AI.

5 Personal Data You Should Never Share with an AI

If you're going to use AI to write, translate, or solve quick problems, great. But set clear limits. Here are five types of data that should be kept out of the chat, even if "it's just so it understands better."

1. Passwords (and also 2FA codes, recovery keys, session tokens): if someone accesses that chat, or if you copy/paste it where it shouldn't be, you've lost your account, don't question about it. The AI ??doesn't need your key to help you,They can explain how to reset it or create a strong password without seeing it.

2. Identity documents: ID card/national ID, passport, driver's license, social security number, photos of the document, or any combination of "name + number + date of birth." With this, a phishing kit can be assembled in minutes, and it can also be used to open accounts, carry out procedures, or pass verifications.

3. Banking and payments: card numbers, bank account, IBAN/ABA, screenshots of transactions, receipts with complete references, or your billing address. Even if you cover "some" numbers, often enough context remains to correlate data. A typical fraud starts with "I just need to validate a transfer."

4. Health: medical results, diagnoses, prescriptions, policy numbers, authorizations, photos of exams, mental health information, or any highly sensitive data. It's not just about privacy: this information can be used for social engineering, targeted scams, or discrimination if it ends up in the wrong hands.

5. Location and routines: your exact address, real-time location, itineraries (“I leave on Friday and return on Monday”), your children's school information, and habits (“the house is empty at this time”). This is gold for stalkers and thieves. If you need recommendations, use broad areas (“east side,” “near the subway”) and avoid exact times. Imagine asking AI to “help me write a bank complaint” and pasting a screenshot with your full name, account number, address, and transaction details. That message can be recorded, forwarded to support systems, or reviewed for moderation. If something goes wrong in the chain, you've already given away everything a scammer needs to impersonate you. How to use AI without giving away your privacy? It's not about panicking, but about using AI wisely. The rule of thumb is simple: if you wouldn't post it on social media or tell it to a stranger, don't paste it into the chat. Prioritize privacy by design, not by hope.

Some easy and very effective best practices you can apply: