What it means
Artificial intelligence is the broad field of building computer systems that perform tasks we usually associate with human thinking, such as recognising patterns, understanding language, making predictions or generating content. Most AI in use today is narrow: it is good at specific tasks and does not understand the world the way people do.
Real-world example
A city's citizen services department uses three different AI systems: one classifies incoming emails by topic so they reach the right team, one transcribes phone calls for the case record, and a chatbot answers questions about opening hours and required documents. Each is "AI", but they use different techniques, data and risk controls.
Why it matters for AI adoption
"AI" is an umbrella term, so a statement like "we are introducing AI" says very little about what will actually change. Good adoption decisions depend on naming the specific technique, task, data and people affected, because risks, costs and regulation differ greatly between, for example, a spam filter and a system that helps decide benefit applications.
Questions to ask
- What specific type of AI does this system use, and for which task?
- Which decisions or work steps will change, and who is affected?