Get ready for the GARP Risk and AI Exam with flashcards and multiple choice questions. Each question comes with hints and explanations. Prepare for success!

Multiple Choice

Individual Fairness means?

Individual Fairness means that similar people should be treated similarly by an algorithm. It relies on defining a similarity metric for the task, so if two individuals are close on relevant features (like credit score, income, and other factors used by the model), they should get similar outcomes. This focus on individual-level consistency distinguishes it from group-based notions of fairness. The other ideas describe group-level fairness or bias more than the principle of treating similar individuals alike. Saying that specific groups are systematically disadvantaged describes a group disparity issue, not how we ensure individual-level parity. Group Fairness and Demographic Parity concern equal outcomes across predefined groups rather than consistent treatment of comparable individuals.

Individual Fairness means that similar people should be treated similarly by an algorithm. It relies on defining a similarity metric for the task, so if two individuals are close on relevant features (like credit score, income, and other factors used by the model), they should get similar outcomes. This focus on individual-level consistency distinguishes it from group-based notions of fairness.

The other ideas describe group-level fairness or bias more than the principle of treating similar individuals alike. Saying that specific groups are systematically disadvantaged describes a group disparity issue, not how we ensure individual-level parity. Group Fairness and Demographic Parity concern equal outcomes across predefined groups rather than consistent treatment of comparable individuals.