Ethical Issues in Data Collection and Big Data

Consent means individuals:

• Know what data is being collected
• Understand how it will be used
• Agree to that use

Ethical problems occur when:

• Consent is hidden in unclear terms
• Users cannot realistically opt out
• Data is reused without permission

Transparency is essential for ethical data practices.

Data Ownership

Another ethical issue is who owns data.

Questions include:

• Does the individual own their data?
• Does the organisation that collects it own it?
• Can data be sold or shared?

In Big Data systems, data is often:

• Collected automatically
• Combined from multiple sources

This makes ownership unclear and ethically complex.

Bias and Discrimination

Big Data systems can reinforce bias.

This happens when:

• Data reflects existing inequalities
• Algorithms are trained on biased datasets

As a result:

• Certain groups may be unfairly treated
• Decisions may favour or disadvantage individuals

IB students should understand that:

• Data analysis is not neutral
• Ethical responsibility includes preventing discrimination

Data Security and Responsibility

Collecting large amounts of data creates a responsibility to:

• Protect it from unauthorised access
• Prevent misuse
• Store it securely

Ethical issues arise when:

• Data breaches occur
• Organisations fail to protect data
• Sensitive information is exposed

Security failures are both technical and ethical problems.

Purpose Limitation

Ethical data use requires purpose limitation:

• Data should be used only for its stated purpose

Problems occur when:

• Data collected for one reason is reused for another
• Individuals are not informed of new uses

This is common in Big Data environments.

Balancing Benefits and Risks

Big Data can provide:

• Improved services
• Better decision-making
• Social benefits

However, ethical practice requires:

• Weighing benefits against harm
• Minimising risks to individuals

IB examiners expect students to show balanced judgement.

Common Student Mistakes

Students often:

• Confuse ethical issues with technical issues
• Focus only on privacy
• Ignore consent and bias
• Give opinions without explanation

Ethical explanations must be justified.

How This Appears in IB Exams

IB questions may ask students to:

• Identify ethical issues in a scenario
• Explain why an issue is ethical
• Discuss impacts on individuals or society
• Evaluate data use decisions

Clear reasoning earns higher marks.

Final Thoughts

Ethical issues in data collection and Big Data focus on privacy, consent, ownership, bias, and responsibility. As data systems grow more powerful, ethical decision-making becomes just as important as technical design.

Understanding these ethical challenges allows IB Computer Science students to evaluate real-world data systems thoughtfully and critically — exactly what examiners expect.

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