Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A public health organization is developing an AI system to identify potential outbreaks of infectious diseases by analyzing medical records and social media posts. To ensure the system does not unfairly target or misdiagnose specific demographic groups, which Responsible AI principle should be a primary concern during its development and deployment?
- AInclusiveness
- BFairness
- CTransparency
- DAccountability
Show answer & explanationAnswer & explanation
Correct answer: B. Fairness
The principle of Fairness in Responsible AI ensures that AI systems treat all people equitably and do not discriminate against specific groups based on sensitive attributes like demographics, preventing biased outcomes.
Why the other options are wrong
- A. Inclusiveness ensures AI systems are accessible and usable by diverse populations, which is related but not the primary principle for preventing discriminatory misdiagnosis.
- C. Transparency relates to understanding how an AI system makes decisions, not specifically preventing biased treatment of groups.
- D. Accountability focuses on who is responsible for AI system outcomes, not directly on preventing bias in diagnosis.
Responsible AI: Fairness
The principle that AI systems should treat all people equitably and avoid creating or reinforcing unfair biases.
- Aims to prevent discrimination against sensitive groups.
- Requires careful consideration of training data and model design.
- Ensures equitable outcomes for diverse users.
Memory trick: AI must be FAIR to all, like a just judge.