Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A logistics company plans to use an AI-powered drone delivery system. The drones will navigate autonomously, identify landing zones, and avoid obstacles. Given the potential for physical harm or property damage, which Responsible AI principle should be the paramount concern during the design, testing, and deployment phases?
- ATransparency
- BPrivacy and Security
- CReliability and Safety
- DFairness
Show answer & explanationAnswer & explanation
Correct answer: C. Reliability and Safety
Reliability and Safety is the paramount principle when an AI system has the potential to cause physical harm or significant negative consequences. It ensures the system operates consistently, predictably, and without unintended harm.
Why the other options are wrong
- A. Transparency is about understanding system decisions, not preventing physical harm directly.
- B. Privacy and Security deals with data protection, not the physical safe operation of a drone.
- D. Fairness focuses on equitable treatment, which is less directly related to physical harm from a drone system.
Responsible AI: Reliability and Safety
The principle that AI systems should perform reliably, consistently, and safely, minimizing the risk of unintended harm.
- Crucial for systems interacting with the physical world or critical infrastructure.
- Requires robust testing, validation, and monitoring.
- Aims to prevent errors, failures, and unintended negative consequences.
Memory trick: AI must be RELIABLE and SAFE, like a trusted guardian.