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AGI 101
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Course Overview
Course Modules
Chapter 0: Course Introduction: Navigating AI Landscape
0.1 - Assessment Exam
0.2 - Module 1: AI Basics: Terms & Concepts
Chapter 1: AI: Potential and Mechanics
1.1 - Module 2: AI Applications & Benefits
1.2 - Lab 1: AI Exploration
1.3 - Module 3: AI Tools: Real-world Cases
1.4 - Assignment 1: Reflecting on AI
Chapter 2: AI Pitfalls: Confidence and Misinterpretation
2.1 - Module 4: Understanding AI Paradox
2.2 - Lab 2: AI Misinterpretation
2.3 - Module 5: Consequences of AI Misinterpretation
2.4 - Lab Report: Insights from Lab 2
Chapter 3: Ethics in AI: Addressing Manipulation
3.1 - Module 6: AI's Dark Side: Scams & Tactics
3.2 - Lab 3: AI Scam Simulation
3.3 - Module 7: Countering AI-enabled Scams
3.4 - Assignment 2: Reflecting on AI Misuse
Chapter 4: Course Conclusion: Reflecting on the AI Journey
4.1 - Module 8: The Ethical Dilemma in AI
4.2 - Final Exam: AI Comprehension
Course Rationales
Audience, Inclusivity & Alternative Paths
Resources & Citations
AGI 101
4.2 - Final Exam: AI Comprehension
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