What Is Artificial Intelligence?
Artificial Intelligence (AI) is the ability of a computer to perform tasks that normally require human intelligence — such as recognising faces, understanding speech, translating languages, or making decisions. AI learns from data rather than following hard-coded rules.
About This Resource
Discover what AI means, how it differs from ordinary software, the types of AI, and where AI appears in everyday life — from voice assistants to recommendation engines.
AI learning resource suitable for Class 5–8 students exploring introductory Artificial Intelligence concepts.
What Students Will Learn
- Define Artificial Intelligence in simple terms
- Explain the difference between AI and ordinary computer programs
- Identify three types of AI: narrow, general, and super AI
- Give five real-life examples of AI in everyday use
- Understand how AI learns from data
Resources Available
Questions & Answers
What is Artificial Intelligence?
Artificial Intelligence (AI) is the ability of a computer to perform tasks that normally require human intelligence — such as recognising faces, understanding speech, translating languages, or making decisions. AI learns from data rather than following hard-coded rules.
How is AI different from a normal computer program?
A normal program follows exact instructions written by a programmer. An AI system learns patterns from data and improves its performance over time without being explicitly programmed for every situation.
What are the types of AI?
The three main types are: Narrow AI (does one specific task well, like a voice assistant), General AI (can do many tasks like a human — does not exist yet), and Super AI (smarter than all humans combined — does not exist yet).
Where do we use AI in everyday life?
AI is all around us: Netflix recommendations, Google Search, Siri and Alexa, spam email filters, face unlock on phones, GPS navigation, auto-correcting text, and social media feeds all use AI.
Is AI safe?
AI is a tool — its safety depends on how it is designed and used. Responsible AI requires careful design, fair training data, human oversight, and clear rules about what AI should and should not do.
Related Resources
Browse resources by class: