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