AI Literacy for Beginners
Module 1: Introduction to AI
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What is Artificial Intelligence?
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History and evolution of AI
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Types of AI: Narrow vs. General AI
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Everyday examples of AI (e.g., recommendation systems, voice assistants)
Module 2: How AI Works (Without the Math)
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Data: The fuel of AI
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Algorithms and models: What they are and how they learn
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Machine Learning vs. Deep Learning vs. Traditional Programming
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The role of training and testing
Module 3: AI in Daily Life
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AI in healthcare, finance, education, entertainment, and more
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Smart devices and personal assistants
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Social media and content curation
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AI in customer service and business
Module 4: Ethics and Responsible AI
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Bias in AI and its consequences
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Privacy and surveillance concerns
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Transparency and explainability
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The future of work and automation
Module 5: Hands-on with AI Tools
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Exploring AI-powered tools (e.g., ChatGPT, image generators, translation tools)
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Playing with no-code platforms (e.g., Teachable Machine, Runway ML)
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Creating simple AI projects (e.g., image classifier, chatbot)
Module 6: Critical Thinking and Media Literacy
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Spotting AI-generated content (deepfakes, synthetic media)
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Evaluating AI claims in the news
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Understanding limitations and hype
Module 7: The Future of AI
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Emerging trends (e.g., generative AI, robotics, AGI)
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Opportunities and challenges
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How to stay informed and involved