This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …

Decisions made by various artificial intelligence (AI) systems greatly influence our day-to-
day lives. With the increasing use of AI systems, it becomes crucial to know that they are fair …

Automating decision systems has led to hidden biases in the use of artificial intelligence (AI).
Consequently, explaining these decisions and identifying responsibilities has become a …

With the widespread use of artificial intelligence (AI) systems and applications in our
everyday lives, accounting for fairness has gained significant importance in designing and …

As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

We introduce Fairlearn, an open source toolkit that empowers data scientists and
developers to assess and improve the fairness of their AI systems. Fairlearn has two …

The increasing use of data-driven decision support systems in industry and governments is
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …

Fairlearn is an open source project to help practitioners assess and improve fairness of
artificial intelligence (AI) systems. The associated Python library, also named fairlearn …

Fairness is an increasingly important topic as machine learning and AI more generally take
over the world. While this is an active area of research, many realistic best practices are …

In a world of daily emerging scientific inquisition and discovery, the prolific launch of
machine learning across industries comes to little surprise for those familiar with the …