MACHINE
LEARNING

Cross

FAIRNESS

Advanced computer algorithms have helped facilitate and automate human decision-making in recent years. Algorithms can now predict, with varying degrees of accuracy, the likelihood of a loan applicant paying off their loan, a criminal defendant reoffending, a college applicant performing well in class if given admission, and much more.

The consequential nature of the decisions involved raises important moral questions: what responsibilities do we have with these algorithms? What are the requirements of fairness when it comes to automated decision-making? This series explores some of the proposed requirements and compares them with one another. There is no single answer. People disagree. But that's what makes it so fascinating.