Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A smart city initiative plans to deploy AI-powered surveillance cameras for public safety. The cameras will use facial recognition to identify individuals and track their movements across the city. This data will be stored and potentially shared with law enforcement. Which responsible AI principle is of utmost concern given the nature of the data collected and its potential use?
- AFairness
- BPrivacy and Security
- CAccountability
- DInclusiveness
Show answer & explanationAnswer & explanation
Correct answer: B. Privacy and Security
The collection of sensitive biometric data (facial recognition), tracking of individuals, and potential sharing with law enforcement directly raise profound concerns about individual privacy and the security of this highly sensitive data against misuse or breaches. Privacy and Security is the paramount principle here.
Why the other options are wrong
- A. Fairness addresses bias in identification, but the broader implication of surveillance and data retention falls under Privacy and Security.
- C. Accountability is about assigning responsibility, but the *nature* of the data collection itself points first to Privacy and Security.
- D. Inclusiveness focuses on empowering all users, which is important but less directly impacted by facial recognition data collection than privacy.
Responsible AI: Privacy and Security
Ensuring AI systems protect personal data, respect individual privacy, and are secure against vulnerabilities.
- Involves data minimization, anonymization, and robust security measures.
- Aims to prevent unauthorized access, use, or disclosure of sensitive information.
- Crucial for maintaining public trust in AI applications.
Memory trick: AI must guard your SECRETS and keep you SAFE.