A company built an AI-driven resume screening system using a large dataset that underrepresents some demographic groups. Which core responsible AI principle does this scenario illustrate?

This scenario directly illustrates a violation of the Fairness principle. When an AI system is trained on data that underrepresents certain demographic groups, it can lead to biased outcomes, such as unfairly screening out qualified candidates from those groups. This bias can perpetuate or amplify existing societal inequalities. Explainability refers to understanding how an AI system makes its decisions, which is not the primary issue here. Privacy and security deal with protecting sensitive data and the system from unauthorized access, which is not the core problem described. Transparency relates to openly communicating about the AI system's capabilities, limitations, and purpose, which is distinct from the inherent bias caused by unrepresentative training data.