Key Ethical Issues
Part of Ethical Issues · GCSE GCSE Computer Science revision
This key facts covers Key Ethical Issues within Ethical Issues for GCSE Computer Science. Revise Ethical Issues in 3.8 Ethical, Legal, Cultural and Environmental Impacts 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 2 of 6 in this topic. Use this key facts to connect the idea to the wider topic before moving on to questions and flashcards.
Topic position
Section 2 of 6
Practice
15 questions
Recall
12 flashcards
Key Ethical Issues
1. Privacy
The right to control personal information. Concerns include social media tracking, facial recognition, and data selling.
- Social media platforms tracking browsing habits
- Facial recognition in public spaces
- Companies selling user data to third parties
- Location tracking through mobile devices
2. Surveillance
Monitoring people's activities raises questions about freedom vs security.
- CCTV cameras in public spaces
- Workplace monitoring of employees
- Government surveillance programs
- Smart home devices recording conversations
3. AI Decision Making
Algorithms making important decisions about people's lives.
- Credit scores determined by AI
- Job screening and hiring automation
- Criminal sentencing recommendations
- Insurance premiums based on data analysis
4. Digital Divide
The gap between those with and without technology access creates inequality.
- Rural areas with poor broadband access
- Developing countries lacking infrastructure
- Elderly people struggling with digital services
- Low-income groups unable to afford devices
5. Automation and Jobs
Machines replacing human workers raises questions about employment and economic fairness.
- Self-checkout replacing cashiers
- Autonomous vehicles threatening driver jobs
- Chatbots replacing customer service roles
- Factory automation reducing manufacturing jobs
6. Bias in AI
Algorithms reflecting societal prejudices from training data.
- Facial recognition less accurate for certain ethnicities
- Biased training data leading to discriminatory outcomes
- Gender bias in job recommendation systems
- Socioeconomic bias in credit scoring
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?
Explain what is meant by the digital divide and describe two ways it can affect people who do not have access to technology.
Quick Recall Flashcards
15 questions on Ethical Issues — practise free
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