Welcome students and introduce today’s focus: understanding AI tools for writing and research. Mention that today’s session aligns with the lesson plan’s objective to identify appropriate AI uses and evaluate content credibility.

Prompt students to share real experiences. Record responses on the board. Aim to generate 5–7 examples.

Define AI in simple terms. Explain machine learning and natural language processing. Relate back to student examples from the warm-up.

Show real-world academic tools. Explain how each tool uses AI. Encourage students to note these examples in their guided notes.

Highlight the difference between using AI ethically (with attribution, as a helper) versus unethically (plagiarism, misinformation). Have students jot down one responsible and one irresponsible use.

Read prompts aloud and allow pairs to discuss for about 2–3 minutes each. Circulate to support students using guided notes.

Explain the exit ticket and collect responses as students leave. Use these responses to gauge understanding and plan for Session 2.

Welcome back! Reconnect to our previous discussion on responsible AI use. Introduce today’s focus on AI ethics: bias, plagiarism, and fairness.

Define ethics in the context of AI. Emphasize why transparency, accountability, and fairness matter when designing and using AI systems.

Explain how biased data or algorithms can lead to unfair outcomes. Share real-world examples (e.g., hiring tools, facial recognition).

Discuss the risk of passing off AI-generated text as your own. Model how to attribute and revise AI content to maintain academic integrity.

Use these prompts to guide the upcoming group discussion and debrief.