Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A smart city initiative plans to deploy AI-powered sensors and cameras to monitor public infrastructure, such as bridges and roads, for early signs of damage or wear. The system will analyze visual data to detect anomalies and alert maintenance crews. The city wants to ensure that the data collected from these sensors is not misused or accessed by unauthorized parties, especially given the sensitive nature of public monitoring. Which Responsible AI guiding principle is most critical to address this concern?
- AReliability and Safety
- BAccountability
- CTransparency
- DPrivacy and Security
Show answer & explanationAnswer & explanation
Correct answer: D. Privacy and Security
The concern about data misuse and unauthorized access, particularly with sensitive public monitoring data, directly falls under the Privacy and Security principle. This principle ensures data protection and system resilience against threats.
Why the other options are wrong
- A. Reliability and Safety focuses on the AI system performing as intended without causing harm, not on data access control.
- B. Accountability focuses on establishing responsibility for AI outcomes, not specifically data protection.
- C. Transparency is about explaining AI decisions, not securing the data it collects.
Responsible AI: Privacy & Security
Privacy and Security in Responsible AI ensures that AI systems protect personal data, respect individual privacy, and are secure from cyber threats and unauthorized access.
- Involves data anonymization, encryption, and access controls.
- Aims to prevent data breaches and misuse of sensitive information.
- Crucial for maintaining public trust and compliance with regulations.
Memory trick: P.S. I love responsible AI: Privacy and Security first!