1. What is Artificial Intelligence (AI)?
Artificial Intelligence is the ability of a computer or robot to perform tasks that normally require human intelligence — such as recognising patterns, making decisions, learning from experience, or solving problems.
Examples of AI in everyday life:
- Self-driving cars
- Face recognition
- Chatbots and virtual assistants
- Smart home systems
- Fraud detection in banking
- Medical diagnosis tools
2. The Evolution of AI (7 Stages)
AI developed over several stages:
- Rule-Based Systems – Machines follow fixed rules
- Context Awareness & Retention – They remember information
- Domain-Specific Intelligence – Good at ONE task
- Reasoning Systems – Able to analyse situations
- Artificial General Intelligence (AGI) – Human-level intelligence (not yet achieved)
- Artificial Super Intelligence (ASI) – Beyond human intelligence (theoretical)
- Singularity – AI becomes self-improving beyond human control
3. Types of AI
There are three major types:
ANI (Artificial Narrow Intelligence)
The AI we use today — specialises in one task
Example: Google Maps, Siri, TikTok algorithm
AGI (Artificial General Intelligence)
Human-level intelligence (future concept)
ASI (Artificial Super Intelligence)
Smarter than humans (theoretical)
There are also four behavioural categories:
- Reactive Machines
- Limited Memory
- Theory of Mind
- Self-Aware AI (not yet developed)
4. Fields Related to AI
AI works closely with these technologies:
Machine Learning (ML)
AI that learns from data to improve predictions.
Deep Learning (DL)
A type of ML inspired by the human brain; used in speech and image recognition.
Artificial Neural Networks (ANN)
Digital “brain cells” that pass signals between each other.
Data Science
Finding insights from data; AI builds on these insights.
Robotics
Physical robots performing tasks — some robots use AI.
Automation
Machines following instructions automatically; AI makes automation smarter.
5. Why Is AI Important?
AI brings major benefits:
- Helps businesses make faster decisions
- Improves healthcare, security, and transportation
- Detects patterns humans may miss
- Saves time by automating repetitive tasks
- Boosts productivity and innovation
6. Limitations of AI
AI is powerful but not perfect:
- Needs large amounts of good-quality data
- Can be expensive
- Lacks human emotional understanding
- Depends on skilled professionals
- Can be biased if trained with biased data
🎯 Lesson Summary
By the end of this lesson, learners should understand:
- What AI is
- How AI has evolved
- The different types of AI
- The main fields connected to AI
- Why AI matters
- The limitations of AI