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TeacherColab · Free Student Worksheet
AI Ethics for Students: Using AI Responsibly
Student Name
Date
Learning Objective
Explore the ethical questions around AI — privacy, fairness, transparency, accountability, and how society decides what AI should and should not do.
Section 1 — What do you already know?
Before we begin, write down anything you already know about: AI Ethics
Section 2 — Key Concepts
1. What is AI ethics?
Answer:
AI ethics is the study of the moral questions raised by artificial intelligence — including fairness, privacy, transparency, accountability, and safety. It asks: what should AI be allowed to do, and who is responsible when things go wrong?
2. What does AI transparency mean?
Answer:
AI transparency means that people should be able to understand how an AI system made a decision. If an AI rejects a loan application or flags suspicious activity, those affected should be able to ask why.
3. Who is responsible when AI causes harm?
Answer:
This is one of the biggest questions in AI ethics. Responsibility might lie with the company that built the AI, the organisation that deployed it, or the regulators who set the rules. Clear accountability frameworks are still being developed globally.
Section 3 — Check Your Understanding
Answer the following questions in your own words.
1. Explain five key principles of responsible AI
2. Analyse a real-world AI ethics scenario
3. Describe what transparency and explainability mean in AI
4. Discuss who should be accountable when AI causes harm
Section 4 — Fill in the Blanks
Complete the sentences using the concepts you have learned.
1. AI Ethics helps computers _________________ patterns from _________________.
2. The main difference between AI and a normal program is that AI _________________ from data rather than following fixed _________________.
3. One real-world example of AI Ethics is _________________, which uses it to _________________.
4. The inputs used by an AI model are called _________________ and the output it predicts is called a _________________.
Section 5 — Scenario Thinking
🤔 Think about this:
A healthcare organisation wants to use AI Ethics to assist doctors in diagnosing patients earlier. What data would the AI need? What challenges could arise? How can the team ensure the AI is fair, safe, and accurate?
Section 6 — What Did I Learn?
✅ Three key ideas I now understand:
❓ One question I still have:
⭐ Challenge Task
If you were designing an AI solution using AI Ethics, what problem would you solve? Outline a 3-step plan: (1) Problem statement, (2) Data to collect, (3) How to verify accuracy.