Introducing AI

Course description

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.

What you will learn

After completing these two modules, you will be able to:

• Outline how modern AI systems work, using accurate language and examples
• Explain the difference between rule-based approaches and data-driven AI systems
• Identify and address common misconceptions about AI technologies
• Show learners how to question and evaluate AI technologies and their outputs
• Identify and explain the main opportunities, risks, challenges, and responsibilities involved in using and creating AI systems