Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A city government is implementing an AI system to optimize traffic flow by dynamically adjusting traffic light timings. This system makes critical decisions that directly impact commuter safety and emergency vehicle response times. The city council requires a designated human oversight committee to be ultimately responsible for the AI system’s actions and any adverse outcomes. Which responsible AI principle does this requirement primarily address?
- APrivacy and Security
- BAccountability
- CTransparency
- DFairness
Show answer & explanationAnswer & explanation
Correct answer: B. Accountability
Accountability ensures that there are clear lines of responsibility for the design, development, and deployment of AI systems and for their outcomes. The requirement for a 'designated human oversight committee to be ultimately responsible' directly embodies the principle of accountability.
Why the other options are wrong
- A. Privacy and Security deal with data protection, not the assignment of responsibility for system operation.
- C. Transparency focuses on explaining how the AI works, not on assigning ultimate responsibility for its impact.
- D. Fairness ensures equitable treatment, which is important but not the primary concern of assigning responsibility for outcomes.
Responsible AI: Accountability
The principle that humans should be ultimately responsible for the design, development, and deployment of AI systems and their outcomes.
- Ensures human oversight and ethical governance of AI.
- Crucial for legal and ethical responsibility in AI-driven decisions.
- Involves establishing clear roles and responsibilities.
Memory trick: Someone must be ACCOUNTABLE for AI, like a captain for a ship.