Core concept

Artificial Intelligence (AI)

Systems that perform tasks typically requiring human cognitive ability — and what AI is not.

What it is — and what the term hides

"Artificial intelligence" is an umbrella term covering systems that perform tasks normally associated with human cognition: classification, prediction, pattern recognition, reasoning, language understanding, perception. In current commercial practice the term almost always refers to machine learning — systems that learn patterns from data — rather than to symbolic or rule-based AI.

Narrow vs. general

What AI is not

AI does not "understand" in the human sense, does not have intent, does not have professional judgement and does not have legal personhood. A claim that an AI system "decided" that someone is fraudulent is therefore a category error: a model produces a score; a person, working inside a regulatory frame, decides what to do with that score.

How this matters in our work

Every Silbad product is AI-driven, with explicit human oversight by design. The architecture treats AI output as evidence in support of a human decision, never as the decision itself — see EU AI Act and Public Engagement.