Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A financial institution is developing an AI system to analyze loan applications and make approval recommendations. The institution is concerned that the system might inadvertently favor certain demographic groups due to biases present in the historical training data. Which Responsible AI guiding principle should be prioritized to address this concern?
- AFairness
- BAccountability
- CPrivacy and Security
- DTransparency
Show answer & explanationAnswer & explanation
Correct answer: A. Fairness
The concern about an AI system inadvertently favoring certain demographic groups due to biased training data directly relates to the principle of Fairness. This principle aims to ensure AI systems treat all individuals and groups equitably.
Why the other options are wrong
- B. Accountability addresses who is responsible for the AI system's outcomes, not the bias itself.
- C. Privacy and Security deals with protecting sensitive data, which is a separate concern from demographic bias.
- D. Transparency focuses on understanding how AI systems make decisions, not specifically biased outcomes.
Responsible AI: Fairness
The principle that AI systems should treat all people fairly and equitably, without discriminating against individuals or groups based on characteristics like race, gender, or socioeconomic status.
- Aims to prevent bias and discrimination.
- Requires careful consideration of training data.
- Ensures equitable outcomes for diverse user groups.
Memory trick: Fairness Fosters Future Flourishing.