Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsEasy
A logistics company is implementing an AI system to optimize delivery routes. The system uses real-time traffic data, weather conditions, and historical delivery times to calculate the most efficient paths. The company wants to ensure that the AI's recommendations are always justified and that human dispatchers can understand why a particular route was chosen over others. Which Responsible AI guiding principle is the primary focus for this requirement?
- ATransparency
- BPrivacy and Security
- CInclusiveness
- DFairness
Show answer & explanationAnswer & explanation
Correct answer: A. Transparency
The requirement for human dispatchers to understand 'why a particular route was chosen' directly aligns with the Transparency principle, which emphasizes making AI systems understandable and their decisions explainable.
Why the other options are wrong
- B. Privacy and Security deals with data protection, which is not the primary concern here.
- C. Inclusiveness aims to empower everyone and consider diverse perspectives, not to explain AI reasoning.
- D. Fairness focuses on equitable treatment and avoiding bias, not on explaining decision logic.
Responsible AI: Transparency
Transparency in Responsible AI means that AI systems should be understandable, and their decisions should be explainable to humans.
- Aims to build trust in AI by demystifying its operations.
- Involves providing clear explanations for AI outcomes and behavior.
- Crucial for debugging, auditing, and ensuring accountability of AI systems.
Memory trick: T.R.A.P. F.I.S.H. - Transparent, Reliable, Accountable, Private, Fair, Inclusive, Secure, Human-centric.