Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
An autonomous vehicle manufacturer is developing an AI system for self-driving cars. The system continuously processes sensor data (Lidar, radar, cameras) to detect obstacles, pedestrians, and other vehicles, and then makes real-time decisions about steering, acceleration, and braking. A critical requirement for this system is that it must operate consistently and predictably under all foreseeable driving conditions, and any failures must be gracefully managed to prevent harm. Which Responsible AI guiding principle is paramount for this application?
- ATransparency
- BFairness
- CReliability and Safety
- DPrivacy and Security
Show answer & explanationAnswer & explanation
Correct answer: C. Reliability and Safety
The paramount concern for an autonomous vehicle is its ability to 'operate consistently and predictably' and to 'prevent harm' through 'graceful management of failures'. This directly aligns with the Reliability and Safety principle, which is critical for systems where malfunction could lead to severe consequences.
Why the other options are wrong
- A. Transparency is about explaining decisions, not preventing physical harm or ensuring consistent operation.
- B. Fairness addresses equitable treatment and bias, which is important but secondary to immediate physical safety in this context.
- D. Privacy and Security focuses on data protection and system resilience against cyber threats, not the physical safety aspect of vehicle operation.
Responsible AI: Reliability & Safety
Reliability and Safety in Responsible AI means that AI systems should perform consistently, dependably, and safely, and should be designed to minimize unintended harm.
- Crucial for high-stakes applications where errors can have severe consequences (e.g., healthcare, autonomous systems).
- Involves robust testing, validation, and mechanisms for graceful degradation or human override.
- Aims to build trust by ensuring AI systems are trustworthy and do not pose risks.
Memory trick: Reliability and Safety: AI must be reliable and safe, like a seatbelt.