Artificial Intelligence (AI)
Simple Definition
Artificial intelligence (AI) is the ability of a computer system to perform tasks that normally require human intelligence — things like understanding language, recognizing images, making decisions, and solving problems.
AI is not one single technology. It’s a broad field that includes machine learning, deep learning, natural language processing, computer vision, and more.
AI in Everyday Life
You encounter AI constantly without realizing it:
- Spam filters that identify junk email
- Recommendation engines on Netflix or Spotify
- Navigation apps that predict traffic
- Face recognition on your phone
- Chatbots like ChatGPT and Claude
Narrow AI vs. General AI
Almost all AI today is narrow AI — it’s designed to do one specific type of task very well. ChatGPT handles language. Image recognition systems identify photos. They can’t transfer skills across domains.
Artificial General Intelligence (AGI) — AI that can reason and learn across any domain the way humans do — does not yet exist, though it’s an active area of research.
Why AI Has Taken Off
Three factors came together to produce the current AI boom:
- More data — the internet generated vast training datasets
- Better hardware — GPUs made training large models feasible
- Better algorithms — transformer architecture unlocked major capability gains
Related Terms
- Machine Learning — the technique AI systems use to learn from data
- Deep Learning — a subset of machine learning using neural networks
- Generative AI — AI that creates new content like text and images
- LLM — the type of AI behind ChatGPT, Claude, and Gemini
See AI terms in action
Browse practical AI workflows that use the concepts in this glossary.
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