Feeling curious about Artificial Intelligence (AI)? You're not alone! AI is all around us, from helping us find information online to recommending movies.

The Be Connected program is excited to offer a new course designed to boost your confidence and knowledge of AI. In this friendly and informative session, you'll learn:

• What AI is and how it works
• How AI is used in everyday life
• How to interact with AI safely and effectively
• Tips and tricks to get the most out of AI assistants

This course is perfect for anyone who wants to:

• Learn new skills
• Stay connected with friends and family
• Get more out of technology
• Feel more confident online

Join us and discover the exciting world of AI!

Places are limited, so register today!

Contact your local Be Connected community organisation for more information and registration details.

Be Connected: Making the digital world accessible for all Australians!

Now write a lesson plan for such a course

Course Length: 2 hours

Target Audience: This course is designed for anyone with a basic understanding of computers and the internet who is curious about AI. No prior technical knowledge is required.

• Participants will be able to define Artificial Intelligence (AI).

• Participants will be able to identify examples of AI in everyday life.
• Participants will understand the basic concepts of machine learning.
• Participants will be able to explain the benefits and risks of AI.
• Participants will learn tips for interacting with AI assistants safely and effectively.

• Whiteboard or projector
• Markers or pens
• Handouts with key terms and definitions
• Short video clips showcasing AI applications (optional)
• Sample AI assistants for demonstration (e.g., smartphone assistant)

• Welcome participants and introduce the course objectives.
• Brainstorm as a group: What does “Artificial Intelligence” mean to you? Capture responses on the board.
• Briefly discuss the history of AI and its increasing presence in our lives.

• Define AI in simple terms (e.g., machines that can simulate human

intelligence).

• Introduce the concept of machine learning: how AI systems learn and improve without explicit programming.
• Use a clear analogy to explain machine learning (e.g., learning a language by recognizing patterns).
• Hand out a glossary of key terms (AI, machine learning, algorithm, data).

• Show short video clips or pictures showcasing real-world applications of AI (e.g., facial recognition, self-driving cars, personalized recommendations).
• Divide participants into small groups and have them discuss the benefits and potential risks of each example.
• Facilitate a class discussion on the overall benefits and risks of AI.

Interacting with AI Assistants (45 minutes):

• Demonstrate how AI assistants like smartphone virtual assistants work (e.g., setting reminders, making calls).
• Guide participants through hands-on practice using a sample AI assistant (if possible).
• Discuss tips for safe and effective interaction with AI assistants:
• Be aware of privacy settings.
• Understand the limitations of AI assistants.
• Use clear and concise language when making requests.

• Briefly summarize the key takeaways from the course.
• Open the floor for questions and discussion.
• Provide participants with resources for further learning about AI (e.g., websites, books).
• Thank participants for attending!

• Participation in class discussions
• Short exit survey (optional): participants can share what they learned and how they plan to use AI in their lives.

Produce Handouts with key terms and definitions

These handouts provide key terms and definitions related to Artificial Intelligence (AI) covered in today's session.

1. Artificial Intelligence (AI)

Definition: A branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. In simpler terms: Machines that can simulate human intelligence and perform tasks typically requiring human thought.

2. Machine Learning

Definition: A type of AI that allows systems to learn and improve from data without being explicitly programmed. In simpler terms: AI systems that can learn on their own by analyzing patterns in data.

3. Algorithm

Definition: A set of instructions that a computer follows to perform a specific task. In simpler terms: A recipe for a computer to solve a problem.

4. Data

Definition: Information that can be used by a computer system. In simpler terms: The raw materials that AI systems use to learn and improve.

5. Benefits of AI

Improved efficiency and automation of tasks Enhanced decision-making capabilities Personalized experiences and recommendations Progress in various fields like healthcare and scientific research

6. Risks of AI

Job displacement due to automation Bias in AI systems based on training data Privacy concerns with data collection and usage Ethical considerations around decision-making by AI

7. AI Assistant

Definition: A software program that can understand and respond to voice commands to perform tasks or answer questions. In simpler terms: Virtual assistants on smartphones or smart speakers that can help with daily tasks.

8. Machine Learning Techniques

There are many machine learning techniques, but some common ones include: Supervised learning: Learning from labeled data where the desired outcome is already known. Unsupervised learning: Finding patterns in unlabeled data to identify hidden structures. Reinforcement learning: Learning through trial and error, where the system receives rewards for good actions and penalties for bad actions.

Note: These are just some of the key terms used in AI. As the field continues to develop, new terminology will emerge.