Fairness-aware Optimization

Fairness-aware optimization is a process used in decision-making systems, like algorithms and machine learning, to ensure that outcomes are fair to all groups involved, especially those that are often marginalized or disadvantaged. Instead of simply maximizing performance or efficiency, these systems take fairness into account, balancing results so that no group is unfairly treated or harmed. This approach aims to minimize bias and promote equity, ensuring that the benefits and resources are distributed fairly across different populations, ultimately leading to more just and responsible outcomes in various applications, from hiring to lending and beyond.