{"id":53912,"date":"2026-04-22T09:08:04","date_gmt":"2026-04-22T07:08:04","guid":{"rendered":"https:\/\/www.altares.be\/?p=53912"},"modified":"2026-04-23T10:37:47","modified_gmt":"2026-04-23T08:37:47","slug":"ai-sounds-convincing-but-convincing-is-not-the-same-as-being-true","status":"publish","type":"post","link":"https:\/\/www.altares.be\/en\/blog\/master-data-management\/ai-klinkt-overtuigend-maar-overtuigend-is-nog-niet-hetzelfde-als-waar\/","title":{"rendered":"AI sounds convincing. But convincing is not the same as being true"},"content":{"rendered":"

Recently I watched a video of two influencers in Dubai. While there was unrest and missiles were being launched from Iran toward the region, one asked the other: \u201cIs there a war now?\u201d The woman\u2019s answer was as striking as it was illustrative:
\u201cAccording to ChatGPT, officially not.\u201d<\/p>\n\n\n\n

That sentence stuck with me. According to ChatGPT, officially not.<\/strong><\/p>\n\n\n\n

As if a language model determines what reality is. As if something only becomes true when a chatbot confirms it. And perhaps even more importantly: as if an answer that sounds confident is automatically correct.<\/p>\n\n\n\n

That is exactly one of the biggest misunderstandings around AI today.<\/p>\n\n\n\n

\"ai<\/figure>\n\n\n\n

The temptation of a convincing answer<\/h2>\n\n\n\n

In my conversations with clients, I increasingly hear the same idea: \u201cWhy would we still need a specialized data provider for this? I can just ask AI for that information, right?\u201d<\/p>\n\n\n\n

It often concerns business information that seems simple at first glance. How is a parent-subsidiary structure set up? Which legal entity belongs to which group? Who is ultimately responsible? Who is the UBO?<\/p>\n\n\n\n

These are questions you can easily ask ChatGPT or another model. You usually get a neatly formulated answer in return quite quickly.<\/p>\n\n\n\n

But fast and neat is not the same as correct.<\/p>\n\n\n\n

AI is not a truth system<\/h2>\n\n\n\n

A generative AI model is not a truth system. It is a language model that recognizes patterns in text and generates the most likely answer based on those patterns.<\/p>\n\n\n\n

That often works impressively well. Sometimes so well that it seems as if the system actually knows what is true.<\/p>\n\n\n\n

But it doesn\u2019t. There is no source registry. No verified database. No legal validation. Only a model trained on large amounts of text that produces a plausible output.<\/p>\n\n\n\n

Interesting read:<\/strong> From AI FOMO to smart sales: why good data and MDM are crucial<\/a><\/p>\n\n\n\n

The risk in a business context<\/h2>\n\n\n\n

In business, plausibility is not enough.
Especially not for topics such as:<\/p>\n\n\n\n