Analysing Personal Information (OCR A-Level Computer Science): Flashcards

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Analysing Personal Information
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3 actions computers do with personal info

Gather, store, and analyse

4 types of concerns from personal data analysis

Moral, social, ethical, and cultural

Definition: Moral issues in data analysis

Concerns about what is right or wrong

What does informed consent mean in data analysis?

Individuals aware of how their data is collected & used

Definition: Social issues in data analysis

Impact on individuals and society

Social issue: Effect of misused health data

Higher insurance premiums

Definition: Ethical issues in data analysis

Principles guiding fair & responsible analysis

Ethical issue: Problem with analysis algorithms

May reinforce biases, leading to unfair treatment

Definition: Cultural issues in data analysis

How data analysis interacts with cultural norms & values

Healthcare opportunity from analysing personal data

Early disease detection, personalised treatments, better outcomes

Personalised experience from data analysis

Tailored recommendations (shopping, education)

Risk: Analysing data without consent

Violates individuals' privacy

Risk: Storing large amounts of personal data

Increased risk of cyberattacks & unauthorised access

Common mistake: Anonymised data safety

Can sometimes be re-identified, posing privacy risks

Result of using biased data

Skewed analysis and unfair outcomes

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