Background to Artificial Intelligence

Artificial Intelligence is used everywhere — from your phone, car, and computer, to hospitals, banks, farms, and factories.
This lesson shows where AI is applied, how it works behind the scenes, and the different categories of AI that exist today.

⭐ 1. Natural Language Processing (NLP)

NLP is when computers understand and work with human language.

Examples:

  • ChatGPT
  • Voice assistants (Siri, Alexa, Google Assistant)
  • Language translation (Google Translate)
  • Email spam detection
  • Chatbots in customer service

NLP helps machines understand text, speech, and communication.

⭐ 2. Expert Systems

Expert systems are AI programs that mimic human experts.

Examples:

  • Medical diagnosis systems
  • Financial risk analysis tools
  • Troubleshooting systems (IT support tools)

Four components of expert systems:

  1. Knowledge Base
  2. Inference Engine
  3. User Interface
  4. Explanation Facility

⭐ 3. Speech Recognition

This is when AI converts spoken language into text.

Examples:

  • Voice-to-text typing
  • Calling someone by saying “Hey Siri, call Mom”
  • Automated customer service
  • Car voice commands

⭐ 4. Handwriting Recognition

AI recognizing and interpreting human handwriting.

Examples:

  • Writing on a tablet/iPad
  • Scanning documents
  • Bank cheque processing
  • Signature verification tools

⭐ 5. Vision Systems (Computer Vision)

AI that understands images and videos.

Examples:

  • Facial recognition
  • Self-driving car cameras
  • QR code scanning
  • Medical X-ray analysis
  • Surveillance systems

⭐ 6. Types of AI (Behavioral)

These describe HOW an AI system acts.

a) Reactive Machines

  • No memory
  • Respond only to current situation
    Example: Basic chess AI

b) Limited Memory AI

  • Learns from past data
  • Most modern AI falls here
    Examples: Self-driving cars, ChatGPT, recommendation systems

c) Theory of Mind AI (not yet achieved)

AI that understands human emotions and intentions.

d) Self-Aware AI (purely theoretical)

AI with consciousness.

⭐ 7. Common Real-World Uses of AI

AI is used in:

  • Healthcare (analysis, diagnosis)
  • Banking (fraud detection)
  • Agriculture (crop monitoring)
  • Retail (recommendations, pricing)
  • Manufacturing (robots, quality control)
  • Education (adaptive learning tools)
  • Gaming (NPC behaviour, enemy strategy)

🎯 Lesson Summary

By the end of this lesson, learners should be able to:

  • Explain NLP, expert systems, vision systems, speech recognition, and handwriting recognition
  • Identify where AI is used in real life
  • Describe the four behavioural types of AI
  • Understand how modern AI systems support everyday tasks and industries
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