Expanded Explanation
Artificial Intelligence (AI) is the branch of computer science focused on creating systems that mimic aspects of human intelligence — perception, reasoning, learning and language. Modern AI ranges from classical machine learning to large language models like ChatGPT, Claude and Gemini, and is used across products, research and everyday tools.
Simple explanation
AI is software that can look at information and make sensible decisions — like recommending a movie, answering a question, or spotting a face in a photo.
Technical explanation
AI covers symbolic reasoning, search, planning, statistical learning, deep learning and generative modelling. Modern systems are dominated by neural networks trained on large datasets using gradient-based optimisation.
Simple Examples
- Voice assistants that transcribe and respond to speech.
- Email filters that classify spam.
- ChatGPT summarising a document or drafting an email.
- Fraud detection in banking transactions.
Common mistakes
- Assuming AI is one single technology instead of a family of techniques.
- Treating all AI as 'generative AI'.
- Believing AI understands the world the way humans do.