Prompt:
In your own words (not GPT’s!), explain the difference between anonymisation and pseudonymisation in data privacy. Then go deeper:
- Which one falls within the purview of privacy regulations — and which one doesn’t?
- Why is pseudonymised data still considered personal data under some laws, while anonymised data is not?
- Is there ever a case where anonymised data could still pose privacy risks? Why or why not?
- How do different privacy regulations (like GDPR, DPDPA, CCPA, PDPL) define or treat this distinction?
- What are the practical implications for organizations doing PIAs/DPIAs or managing risk assessments?
Bonus Question (Think Like a Consultant):
Imagine you're reviewing a company's dataset that has been “de-identified” by removing names but keeping location, device ID, and browsing behavior.
Would you call this anonymised or pseudonymised?
Defend your answer legally and practically. What would your advice to the company be?
Instructions for Learners:
- Bring clarity to confusion. This isn’t about quoting laws; it's about applying them.
- Be critical: If a law is vague or confusing, call it out and suggest how you’d interpret it.
- Use examples from tech, health data, marketing, or your own work if applicable.
- Aim for 250–400 words. Break into sections for readability.
Background Concepts for Reference
- GDPR Recital 26 vs Article 4(5)
- India's DPDPA definition of “personal data”
- CCPA's treatment of de-identified data
- Role of re-identification risk in privacy assessments
