Ethical Issues in Artificial Intelligence introduces Grade 9 Computer Science students to the principles that should guide AI systems when their decisions affect people. Through realistic examples involving schools, media, and public services, students examine privacy, transparency, accountability, responsibility, and fairness. Rather than treating artificial intelligence as technology alone, this worksheet challenges students to consider its consequences for individuals and communities.

Explore the Ethical Decisions Behind AI

Students investigate what makes an AI system ethically responsible, even when it produces technically accurate results. The reading passage explains how personal data should be collected and accessed, why people need understandable explanations of automated decisions, and how organizations should respond when AI tools make mistakes. It also introduces the risks of incomplete or unrepresentative training data and explains how testing outcomes across different groups can reveal unfair patterns.

Key concepts include privacy protection, transparency in decision-making, accountability for consequences, shared responsibility, bias in training data, and human oversight. Students apply these ideas to situations such as a school learning platform collecting student records, a media recommendation system overlooking content from a particular community, and an AI tool incorrectly flagging assignments.

What Students Work Through

• Dialogue questions: Consider ethical issues through a conversational prompt.
• Matching and cloze activities: Connect key concepts with their meanings and complete a paragraph using relevant ethical terminology.
• Diagram labelling: Work with a labelled-diagram activity related to the lesson.
• Reading comprehension: Use the explanatory passage to examine the benefits, risks, and consequences of AI.
• Multiple-choice questions: Apply ethical principles to practical scenarios and identify appropriate safeguards.
• True-or-false statements: Evaluate claims about privacy, technical accuracy, human oversight, responsibility, and fairness.
• Short-answer responses: Explain privacy safeguards, the effects of unrepresentative training data, and ways to improve transparency and accountability.
• Extended written response: Evaluate a proposed school AI system by explaining three ethical issues, practical safeguards, and the importance of human oversight and accountability.

Included Resources

• Printable Grade 9 worksheet covering ethical issues in artificial intelligence.
• Separate Teacher Guide PDF with learning objectives, teaching tips, discussion questions, and common mistakes.

The student worksheet provides opportunities to build vocabulary, interpret informational text, evaluate scenarios, and justify decisions in writing. The separate teacher guide offers practical preparation support and discussion prompts for exploring a topic where students may encounter competing priorities and consequences.

Practical Uses in Computer Science Lessons

Use this AI ethics worksheet during an introduction to artificial intelligence, a lesson on responsible technology, or a discussion of how automated decisions affect people. Students can complete the activities independently, work through the reading and questions together, or use the extended response to develop evidence-based explanations. The discussion questions in the teacher guide can also support class conversations about safeguards before an AI tool is introduced in a school.

By the end of the resource, students have practised identifying ethical risks, explaining how data can contribute to unfair outcomes, and proposing practical ways to protect rights and improve oversight. This Grade 9 computer science practice resource helps connect AI concepts with the thoughtful decision-making required for responsible technology use.

Curriculum framework: General. No specific curriculum standard codes are identified for this resource.