Does an AI chatbot train on your customer data? What really happens to it

No, a well-built AI chatbot on your website does not train on your customer data: it uses your data to answer a question and stores the conversation, but the language model itself learns nothing from it. The difference between training, processing and storing is what decides what you check before a chatbot goes on your site.

Usually you want to know one thing: could something my customer types ever show up in an answer to someone else? For a chatbot that runs on a language model's API, the answer is no. Below you will read what happens to a conversation, what you can control, and how to vet a vendor with five questions. So you can put a chatbot to work that helps your customers day and night, with peace of mind.

Does an AI chatbot train on customer data, or only process it?

Take an online shop that puts its returns policy into the chatbot. A customer asks whether last week's order can still go back. The chatbot finds the part of the returns policy that covers it, uses it to answer the question and replies. The model read the policy for a moment, the way an employee opens a handbook. It did not learn it by heart.

This approach is called retrieval-augmented generation, or RAG. Most customer service chatbots work this way: they look up the answer in your information instead of learning it by heart. At Chatwize your data is stored in the EU.

Does ChatGPT train on my business data?

It depends on how you use it. Paste customer data into the free or Plus version of the ChatGPT app and OpenAI may use it to improve its models, unless you switch that off in the settings. A chatbot on your website does not use the app but a language model's business API. A different rule applies there: what comes in through the API is not used to train models, unless you opt in.

Where is my chatbot's data stored?

Don't just ask a vendor whether your data is safe. Ask what is arranged for each part. These are the four things you want in writing.

Who are the sub-processors of an AI chatbot?

A sub-processor is any company that processes data on behalf of your chatbot vendor. An AI chatbot always has a few: hosting, a database, the language model, and usually payments and email. A good vendor has these parties listed, with their purpose and location, and gives you the list when you ask.

If a vendor cannot give you that list, they either don't know or don't want to say. Both are reasons to keep asking. You also need the list for your own record of processing activities, and sooner or later your customer or their data protection officer will ask for it.

How do you make an AI chatbot GDPR compliant? Five questions for your vendor

1. Is my data used to train a model, and is that in the contract? A sentence on a website is not enough. It belongs in the data processing agreement.
2. Which data is stored where, and which agreements apply? Ask per component: documents, conversations, the language model.
3. Who are the sub-processors? With name and purpose.
4. How long are conversations kept, and can I delete and export them myself?
5. Does the chatbot ask for no more than it needs? That is largely up to you, through what you put into the chatbot and what it asks. The next section is about that.

Which customer data should and shouldn't go into an AI chatbot?

The safest personal data is the data you never collect. A customer service chatbot needs nothing personal for most questions: returns, delivery times, opening hours, prices, how something works. That is information about your business, not customer data. A rental company can ask in the chatbot for the date and the product, and only ask for a name and phone number once the customer wants to book.