Impacts of TechnologyExam Tips

Exam Tips - Ethical Issues

Part of Ethical IssuesGCSE Computer Science

This exam tips covers Exam Tips - Ethical Issues within Ethical Issues for GCSE Computer Science. Revise Ethical Issues in Impacts of Technology for GCSE Computer Science with 15 exam-style questions and 12 flashcards. This topic appears regularly enough that it should still be part of a steady revision cycle. It is section 5 of 5 in this topic. Treat this as a marking guide for what examiners are looking for, not just a fact list.

Topic position

Section 5 of 5

Practice

15 questions

Recall

12 flashcards

Exam Tips - Ethical Issues

When answering discussion questions:

  • Always give BOTH sides - benefits AND concerns
  • Use specific, concrete examples to strengthen your answer
  • Remember: something can be legal but still unethical
  • Show awareness of multiple perspectives

Common mistakes to avoid:

  • Being one-sided - examiners want balanced discussion
  • Being too vague - "privacy is bad" vs "facial recognition databases could be hacked"
  • Confusing ethical issues with legal issues
  • Forgetting that ethics considers what's morally right, not just what's allowed

Keep building this topic

Read this section alongside the surrounding pages in Ethical Issues. That gives you the full topic sequence instead of a single isolated revision point.

Practice Questions for Ethical Issues

Which of the following best describes an ethical issue in computing?

  • A. A technical bug in a program that causes it to crash
  • B. A question about whether a technology is used in a morally right or wrong way
  • C. Breaking a law by hacking into a computer system
  • D. The cost of purchasing new computer hardware
1 markfoundation

Explain what is meant by the digital divide and describe two ways it can affect people who do not have access to technology.

3 marksstandard

Quick Recall Flashcards

What is an ethical issue?
A question about what is morally right or wrong
What does PADS-B stand for in ethical issues?
Privacy, Automation, Digital divide, Surveillance, Bias in AI

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