Day 4: Introduction to AI Concepts

What is AI?

• Definition and brief history of AI
• Types of AI (narrow vs. general)
• AI vs Human Intelligence
• Applications of AI in real-world scenarios

Key Components of AI

• Main components needed for AI systems

Introduction to machine learning

• Definition and types of machine learning
  • Supervised vs. unsupervised learning
• Reinforcement learning

Neural Networks and Deep Learning

• Introduction to neural networks
• How neural networks work at a basic level
• Overview of deep learning
• Applications of deep learning in real-world scenarios

Common Misconceptions about AI

• Debunking common myths and misconceptions about AI
• Ethical considerations in AI development

Game: AI or Human?

• Interactive game to test the audience's ability to distinguish between AI-generated and human-generated images