📍 Start here

Start with the ethics and originality section. Then use the prompt journal for structured reflection on your own AI use habits.

Ages 14–18 · Grades 9–12

Think Critically About AI

Use AI with judgment, integrity, and clear boundaries between support, practice, and assessment.

⚖️
AI bias

Where it comes from and why it matters

✍️
Authorship

Who made this? What parts are mine?

🎯
Responsibility

Documentation, disclosure, and decision-making

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Credibility

Evaluating sources, outputs, and claims

What students explore

1. How AI systems are trained
AI learns from large datasets — and those datasets reflect the humans who created them. Understanding training helps students understand outputs.
2. How bias enters outputs
Bias comes from data, design choices, and what's prioritized or left out. AI can reflect and reinforce societal biases without anyone intending it.
3. How AI affects originality
When AI contributes to written, visual, or creative work, questions of authorship and originality become real. Students explore what "original work" means when AI is involved.
4. How to evaluate credibility
AI can produce convincing, well-formatted text that is factually wrong. Source checking and credibility evaluation are non-negotiable skills.
5. When AI supports learning vs. undermines it
Students practice identifying when AI use is legitimate support and when it replaces the learning the task was designed to build.
6. Why documentation and reflection matter
Tracking how AI was used, what was kept, what was changed, and why — this is the habit of responsible, transparent use.

What they practice

Prompt design

Structure prompts for specific purposes. Iterate and revise based on outputs.

Source comparison

Compare AI outputs with authoritative sources. Identify gaps and errors.

Bias spotting

Identify language, framing, or omission patterns that suggest bias.

Integrity decisions

Decide what AI use is appropriate for each assignment type and context.

Documentation of thinking

Record process, revisions, and reasoning. Show the work behind the output.

Questions that matter

Authorship questions

Who made this?
What parts are mine?
What needs citation or disclosure?
Does this support my learning or avoid it?

Use decision framework

Supports learning: Brainstorming, feedback on existing work, explaining concepts
It depends: Research assistance, drafting, translation — check assignment guidelines
Undermines learning: Submitting AI output as your own work without disclosure or revision

Practice what matters

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Bias spotting challenge

Analyze AI outputs for language patterns, omissions, and framing that suggest bias.

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Original work decision scenarios

Work through realistic scenarios where AI use might help, harm, or raise questions.

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Prompt critique lab

Evaluate and improve high school-level prompts for research, writing, and analysis tasks.

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Ethics discussion cards

Open-ended scenarios for class discussion. No single right answer — the discussion is the point.

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Output comparison studio

Compare two AI outputs for quality, accuracy, bias, and usefulness. Explain your reasoning.

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Source check challenge

Given an AI output, find at least two sources that confirm, contradict, or add nuance to the claims.

High School Prompt Journal

A journal built for high school use that supports ethical documentation, prompt revision, and structured reflection on AI use across subject areas.

View Bundle →

Downloads

📓

High School Prompt Journal

Advanced prompting + reflection

⚖️

Ethics Toolkit

Scenarios, discussion guides, frameworks

🃏

Ethics Discussion Deck

Printable scenario cards for class

📋

Teacher Guide

Clear policies, assessment guidance

🪞

Student Reflection Packet

Structured documentation of AI use

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Policy-Aligned Classroom Pack

Aligned to common academic integrity policies

Glossary Preview

Algorithm

A set of rules a computer follows to complete a task or make a decision.

Machine Learning

A type of AI where systems learn patterns from data instead of following fixed rules.

Bias

Systematic patterns in AI outputs that favor or disadvantage certain groups or perspectives.

Authorship

Who created or is responsible for a piece of work. Complicated when AI contributes.

Integrity

Acting honestly and consistently with your values — even when no one is watching.

Citation

Crediting a source for ideas, words, or content that isn't yours — including AI-generated content.

Credibility

Whether a source or claim can be trusted. AI output is not automatically credible.

Oversight

Human review and judgment applied to AI outputs before acting on or sharing them.

🎓 For teachers

  • Use clear policies — separate practice from assessment
  • Require reflection and documentation
  • Offer multiple response options and formats
  • Scenario-based discussion builds more than worksheets
  • Teacher guide includes admin-safe language

🏠 For families

  • Discuss what originality means across different assignments
  • Talk about honesty, trust, and future use of AI in careers
  • Help your teen think about what responsible use looks like in each class
  • Ask: "Did you disclose how you used AI for this?"

Continue the learning path

← Grades 6–8 Higher Education → View 9–12 Bundle