Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A government agency is deploying an AI system to process sensitive citizen data for resource allocation. The dataset includes personally identifiable information (PII) and health records. To prevent unauthorized access, data breaches, and misuse of this highly sensitive information, which Responsible AI principle is paramount?
- AAccountability
- BInclusiveness
- CPrivacy and Security
- DTransparency
Show answer & explanationAnswer & explanation
Correct answer: C. Privacy and Security
Privacy and Security is the paramount principle when dealing with sensitive personal data. It ensures that data is protected from unauthorized access, kept confidential, and used only for its intended purpose, preventing breaches and misuse.
Why the other options are wrong
- A. Accountability assigns responsibility, but doesn't directly address the technical safeguards for data.
- B. Inclusiveness focuses on accessible AI for diverse users, not data protection.
- D. Transparency is about understanding AI decisions, not securing the underlying data.
Responsible AI: Privacy and Security
The principle that AI systems should protect personal data, respect privacy, and be secure against unauthorized access and malicious attacks.
- Crucial when handling sensitive personally identifiable information (PII).
- Involves data encryption, access controls, and robust cybersecurity measures.
- Aims to prevent data breaches and ensure data confidentiality.
Memory trick: AI must guard data with PRIVACY and SECURITY, like a fortress.