AWS Certified AI PractitionerResponsible AIEasy
A company is designing an AI system that processes highly sensitive personal data. To comply with data protection regulations like GDPR, they implement techniques such as anonymization, pseudonymization, and secure data storage. Which Responsible AI concept are these practices primarily intended to uphold?
- ASecurity
- BTransparency
- CFairness
- DPrivacy
Show answer & explanationAnswer & explanation
Correct answer: D. Privacy
Anonymization, pseudonymization, and secure data storage are all practices aimed at protecting sensitive personal data, which directly falls under the umbrella of AI privacy.
Why the other options are wrong
- A. Security protects the AI system and data from unauthorized access or attacks, but privacy specifically focuses on the ethical and legal handling of personal information.
- B. Transparency is about understanding the AI's operations, not data protection.
- C. Fairness relates to unbiased outcomes, not the protection of individual data.
AI Privacy
AI privacy refers to the ethical and legal responsibility to protect personal and sensitive data used by AI systems, ensuring compliance with data protection regulations and individual rights.
- Includes anonymization, pseudonymization, differential privacy.
- Crucial for trust and regulatory compliance.
- Balances data utility with individual protection.
Memory trick: P.S.F.A.T. for AI