AI Literacy for Beginners

What is Artificial Intelligence?

History and evolution of AI

Types of AI: Narrow vs. General AI

Everyday examples of AI (e.g., recommendation systems, voice assistants)

AI in healthcare, finance, education, entertainment, and more

Smart devices and personal assistants

Social media and content curation

AI in customer service and business

Exploring AI-powered tools (e.g., ChatGPT, image generators, translation tools)

Playing with no-code platforms (e.g., Teachable Machine, Runway ML)

Creating simple AI projects (e.g., image classifier, chatbot)

Emerging trends (e.g., generative AI, robotics, AGI)

Opportunities and challenges

How to stay informed and involved

Data: The fuel of AI

Algorithms and models: What they are and how they learn

Machine Learning vs. Deep Learning vs. Traditional Programming

The role of training and testing

Bias in AI and its consequences

Privacy and surveillance concerns

Transparency and explainability

The future of work and automation

Spotting AI-generated content (deepfakes, synthetic media)

Evaluating AI claims in the news

Understanding limitations and hype

Choose a real-world problem and explore how AI could be applied

Present findings in a simple, creative format (e.g., video, poster, blog)