AWS Certified AI PractitionerResponsible AIEasy
A financial institution is developing an AI model to assess loan applications. To ensure fairness, the data scientists are particularly concerned about disparate impact on protected demographic groups, even if the model's performance metrics (accuracy, precision, recall) are high overall. Which of the following Responsible AI concepts is primarily being addressed in this scenario?
- AInterpretability
- BPrivacy
- CFairness
- DRobustness
Show answer & explanationAnswer & explanation
Correct answer: C. Fairness
The scenario explicitly mentions concern about 'disparate impact on protected demographic groups' despite high overall performance, which directly relates to the concept of fairness in AI systems.
Why the other options are wrong
- A. Interpretability focuses on understanding how an AI model makes its decisions, not necessarily its impact on different groups.
- B. Privacy deals with protecting sensitive personal information used by the AI model.
- D. Robustness refers to an AI model's ability to maintain performance under varied or adversarial conditions.
AI Fairness
AI fairness ensures that an AI model's decisions are free from bias and do not lead to systematically different or discriminatory outcomes for different groups of people.
- Addresses disparate impact and treatment.
- Critical for ethical AI deployment.
- Requires careful data selection and model evaluation.
Memory trick: F.I.R.E. P.R.O.T.E.C.T.S. AI