Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A self-driving car manufacturer is developing an AI system to navigate autonomous vehicles. The system must accurately perceive its environment, make real-time driving decisions, and adapt to unexpected situations like sudden obstacles or adverse weather. A critical concern is ensuring the system's decisions are consistently safe and predictable, even under extreme or novel conditions, to prevent accidents. Which Responsible AI guiding principle is paramount in this scenario?
- AFairness
- BReliability and Safety
- CInclusiveness
- DAccountability
Show answer & explanationAnswer & explanation
Correct answer: B. Reliability and Safety
Reliability and Safety is the paramount Responsible AI principle for autonomous vehicles because it directly addresses the need for the AI system to perform consistently, predictively, and without causing harm, especially in life-critical applications like driving.
Why the other options are wrong
- A. Fairness concerns equitable treatment, not the operational safety of the vehicle.
- C. Inclusiveness focuses on accessibility for diverse users, not the operational safety of the vehicle.
- D. Accountability assigns responsibility, but Reliability and Safety is about the system's inherent design for safe operation.
Responsible AI: Reliability and Safety
AI systems should perform reliably, consistently, and safely, and be able to respond to unexpected conditions or changes.
- Crucial for mission-critical and safety-critical applications.
- Involves robustness, resilience, and error handling.
- Aims to prevent unintended harm to people or property.
Memory trick: Safe and reliable, the car's always able.