# The Golden Rule of AI Data Privacy: Is Your AI Private?
Source: https://humanspark.ai/golden-rule-of-ai-data-privacy/

I've noticed that one of the biggest concerns people have about using AI at work is privacy.

Can you put a client document into ChatGPT? What about an internal report? Is it safe to paste a customer email into an AI tool and ask it to write a reply?

These are sensible questions, particularly if you work with confidential information.

The problem is that the answers can get complicated very quickly. Different AI companies have different privacy policies. The same company may offer several types of account, each with different rules.

Most people don't want to become experts in data protection just to use AI at work.

I think we need a simpler way to approach this.

That's why I teach something I call **The Golden Rule of AI Data Privacy**.

## The Golden Rule

**Never enter confidential, client, personal or private business information into Non-Private AI.**

That's it.

The important part is knowing the difference between Private AI and Non-Private AI.

I've created a simple framework to help you make that distinction:

[The Golden Rule AI Privacy Framework](https://humanspark.ai/frameworks/golden-rule-ai-privacy/)

Let's look at how it works.

## Two types of AI: Private and Non-Private

For everyday use, I find it helpful to divide AI tools into two groups.

**Private AI** means an AI system that has suitable privacy protections and has been approved by your organisation for work use.

**Non-Private AI** means an AI system that has not been approved to handle your organisation's private information.

This doesn't mean that every Non-Private AI tool is dangerous, or that every Private AI tool is perfectly secure.

It gives us a practical rule for deciding what information we should share.

### Private AI

Private AI systems are suitable for the types of work your organisation has approved.

For example, your company might provide ChatGPT Business, Microsoft 365 Copilot, or another business AI system with appropriate privacy protections.

Your organisation might also run its own AI system on a private server.

These can be good options for working with confidential information, provided your organisation has checked and approved them.

You might use an approved Private AI system to summarise internal reports, review client documents, analyse business information or prepare meeting notes.

But there is an important condition.

**Private AI does not mean you can put absolutely anything into it.**

Your organisation may allow ordinary internal documents but place extra restrictions on medical records, legal files or highly sensitive financial information.

You still need to follow those rules.

### Non-Private AI

Non-Private AI includes tools that have not been approved to handle your organisation's private information.

This might be a free AI website you've discovered, a personal ChatGPT account, a browser extension, or an AI app you've installed on your phone.

You can still do useful things with these tools.

You could ask an AI tool to explain a technical idea, help write an article, plan a presentation, or work with completely fictional examples.

The important thing is not to share private information.

For example, imagine you're a solicitor and you want AI to help draft a letter.

You could give an unapproved AI tool a completely fictional scenario and ask it to create a sample letter.

What you should not do is paste in a real client's correspondence, property details and personal circumstances.

The task might be exactly the same. The difference is the information you're sharing.

## Does paying for AI make it private?

Not necessarily.

This is a common misunderstanding.

You might pay for a personal AI subscription because you want access to better models or more features.

That doesn't automatically mean your account has the same privacy protections as a business or enterprise account.

Equally, some business AI services may be included in software your company already pays for.

**The price isn't what makes AI private. The data protections and the approved way you're using it are what matter.**

There's another detail worth understanding.

We're not really classifying the AI brand. We're classifying the account or environment you're using.

For example, two people might both be using ChatGPT. One might be using a personal account, while the other is using an approved company workspace.

Those are not necessarily the same from a privacy point of view.

That's why it's important to know which account you're signed into.

## Who decides which AI tools are private?

This is where I think we need to separate two responsibilities.

**Your organisation has one responsibility. You have another.**

If you work for a company, you shouldn't need to study every AI provider's privacy policy and work out what is safe.

That's a job for the organisation.

Your employer should check the tools, decide which ones are approved, and explain what information staff are allowed to use with them.

That review may involve IT, management, legal advisers or someone responsible for data protection.

They need to look at issues such as how information is stored, who can access it, whether it may be used to train AI models, and what happens when other services are connected.

There is more detail involved than our simple framework shows, especially where GDPR or professional confidentiality rules apply.

But the people using AI every day don't need to carry all that detail in their heads.

They need clear instructions.

### Your responsibility as an AI user

Your job is much simpler.

You need to know which AI systems your organisation has approved, make sure you're using the correct account, and follow the rules about what information can be shared.

If you're self-employed, you may need to take on both responsibilities yourself or get suitable advice.

Either way, you should know what you're sharing and where it's going.

## What if you want to experiment with a new AI tool?

I actively encourage people to experiment with AI. It's one of the best ways to discover what these tools can do.

But you don't need to use real confidential information to experiment.

Imagine you work in a company that sells food packaging.

You've found a new AI tool that promises to analyse customer enquiries and suggest replies.

Rather than copying in real customer emails, you could create a fictional company with fictional customers, products and orders.

You can test the tool, see what it does well and where it struggles, without exposing real business information.

I use fictional business examples regularly in my AI training for exactly this reason.

And be careful with the word "anonymous".

Changing a customer's name to "Customer A" doesn't necessarily make the information anonymous. Other details might still identify them.

When testing an unapproved tool, **completely made-up information is a much safer starting point**.

## What if the AI tool says it protects your privacy?

That's encouraging, but it doesn't settle the question.

An AI provider might promise not to use your information to train its models. That's an important protection.

But it doesn't tell you everything about how your information is handled.

The service might still store conversations for a period of time. It might connect to other services, or have settings that change how information is processed.

That doesn't automatically make the tool unsuitable.

It simply means there is more to check.

And that's the point of separating organisational responsibility from individual responsibility.

Your organisation should do the detailed checking. You should be able to rely on a clear list of approved tools and uses.

## Two questions before you share

You don't need a long checklist every time you use AI.

I suggest asking yourself just two questions:

**1. Is this an approved Private AI system?**

Check that you're using the right tool and the right company account.

**2. Am I allowed to use this information here?**

Even with an approved system, make sure the information you're sharing is permitted.

If you can confidently answer yes to both questions, you can proceed within your organisation's rules.

If you can't, stop and check first.

## Keep the rule simple

AI privacy is a complicated subject when you get into the technical, legal and security details.

But I don't think every person who uses AI needs to understand all of that before they can work responsibly.

What they do need is a reliable way to make everyday decisions.

That's why I've kept the Golden Rule framework deliberately simple.

We have two categories: Private AI and Non-Private AI.

We have a clear division of responsibility between the organisation and the person using the tool.

And we have one rule that is easy to apply:

**Never enter confidential, client, personal or private business information into Non-Private AI.**

If you're unsure whether a tool is Private AI, treat it as Non-Private until you've checked.

You can still experiment, learn and get real value from AI without putting confidential information at risk.

The aim is to make AI useful at work while keeping control of the information we're responsible for.

**[View the Golden Rule AI Privacy Framework](https://humanspark.ai/frameworks/golden-rule-ai-privacy/)**