AI Literacy for Everyone

• Chapter 1.1: Defining Artificial Intelligence

• Chapter 1.2: Myths vs. Reality in AI

• Chapter 1.3: Types of AI: Narrow, General, and Superintelligence

• Chapter 2.1: AI in Phones, Homes, and Cars

• Chapter 2.2: Recommendation Systems and Smart Assistants

• Chapter 2.3: Invisible AI – Where It’s Working Behind the Scenes

• Chapter 3.1: What is Machine Learning?

• Chapter 3.2: Data, Algorithms, and Patterns

• Chapter 3.3: Language, Vision, and Decision-Making Models

• Chapter 4.1: Generative AI (ChatGPT, DALL·E, etc.)

• Chapter 4.2: Common AI Tools You Can Try

• Chapter 4.3: What AI Can and Can’t Do (Yet)

• Chapter 5.1: Understanding Bias in AI

• Chapter 5.2: Data Privacy and Surveillance Risks

• Chapter 5.3: Who’s Responsible When AI Makes Mistakes?

• Chapter 6.1: Being AI-Literate as a Consumer or Worker

• Chapter 6.2: How AI Affects Jobs and Workplaces

• Chapter 6.3: Future Readiness and Lifelong Learning with AI

Focus: What is AI and Why It Matters

• What is Artificial Intelligence? (15 min)

• A Brief History of AI (20 min)

• AI vs. Human Intelligence: Myths and Realities (15 min)

• Everyday AI: How It’s Already Around You (30 min)

• Ethics and Concerns: Bias, Privacy, and Job Impact (30 min)

Focus: How AI Works (Without the Jargon)

• Machine Learning in Simple Terms (15 min)

• Supervised vs. Unsupervised Learning (20 min)

• What are Neural Networks? (30 min)

• Chatbots, Recommenders, and Facial Recognition Explained (30 min)

• Interactive Demo: Training a Model to Recognize Fruit (30 min)

Focus: Using AI Responsibly in Daily Life and Work

• AI in Healthcare, Education, and Entertainment (20 min)

• How to Use AI Tools Like ChatGPT, DALL·E, and Bard (30 min)

• Understanding Fake Content: Deepfakes and Misinformation (20 min)

• Making Ethical Choices When Using AI (20 min)

• Final Wrap-Up: What AI Literacy Means for the Future (15 min)

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Title: Demystifying AI: What It Is and Why It Matters
Duration: 60 minutes
Focus: Introduction to AI concepts, everyday applications, and responsible usage
Guest: AI Educator / Science Communicator
Interactive: Live quiz + audience polls on AI in daily life

Title: How AI Thinks: Learning Without the Code
Duration: 75 minutes
Focus: Fundamentals of machine learning, neural networks, and pattern recognition
Guest: Machine Learning Instructor / Visual Learning Designer
Interactive: Hands-on analogy activity (e.g., training a model using object sorting and examples)

Title: Using AI Responsibly: Tools, Trust, and Your Digital Future
Duration: 90 minutes
Focus: Exploring ethical use of AI tools, misinformation risks, and AI for good
Guest Panel: Digital Literacy Advocate + AI Ethicist + Educator
Interactive: Tool walkthroughs (e.g., ChatGPT, DALL·E) + group discussion on safe and creative AI use

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