Civic AI Security Program (CivAI) has some amazing resources.

• The Future of Phishing has AI explore public info about a person (type in Smeagol or other fictional characters for fun) and writes tailored phishing emails for them.

• AI Has Opinions, and They're Not the Same as Yours examines 6 questions and how different AI's respond. It's a very interesting exploration of the values embedded in AI.

• How to Turn Your AI Evil showcases the process of training AI and what happens when AI is trained on intentionally wrong information.

• When AI Chooses Harm Over Failure explores how misaligned AI could use information against the user.

• Secret Language of AI shows how AI agents communicate using code.

Check out more of the CivAI resources on their Explore Our Work page

Day 1 - How to Become an AI Expert

Day 2: How do chatbots work?

Day 3: How can they go wrong?

Day 4: How can you use them right now?

Day 5: Where are they headed?

Experience AI: "Developed in collaboration by the Raspberry Pi Foundation and Google DeepMind, the programme supports teachers in the exciting and fast-moving area of AI, and gets young people passionate about the subject."

Target Audience Age: 11-14

Units:

• Foundations of AI

• AI Safety

The University of Louisville has a set of Citizen Literacy resources which contain specific toolkits on  AI literacy and Algorithmic Literacy (Algorithms are an important factor in understanding how AI works). These resources include:

• Videos

• Handouts

• Activities

• Sources & Further Reading

Target Audience: Likely aimed at new college students, but this could be used in grades 6-12 easily, possibly even extending to upper elementary students.

This course will help you to develop your understanding of AI systems, how they work, and how to discuss them accurately with learners. You will also explore how to engage critically and responsibly with AI technologies, and support your learners to do the same.

In module 1, you will build your understanding of modern AI systems and their origins. You will explore rule-based and data-driven approaches, how machine learning works, the most common types of AI systems, and how to use accurate language when discussing AI. You will also consider common misconceptions (inaccurate beliefs or ideas) and how they can affect learners’ understanding.

In module 2, you will focus on developing your AI literacy — the skills and knowledge you need to understand, evaluate, and use AI systems safely, critically, and responsibly. You will learn how to question and assess AI systems and their outputs (the content, predictions, decisions, or actions they produce), and support learners to do the same. You will consider the benefits, limitations, and risks of AI systems, and the ethics of responsible design and use. You will also explore teaching approaches that support learners to think critically about AI technologies.