The rapid proliferation of algorithmic systems has sparked widespread concerns about their potential to perpetuate and ...

The accuracy and robustness of computational models is only one side of the equation. The field of algorithmic fairness and accountability investigates the decision-making capabilities of data-driven ...

This research area examines how individuals perceive fairness in algorithmic decision-making and how these perceptions affect the acceptance and adoption of AI systems. We investigate various fairness ...

Accenture’s new Fairness Tool is a way to quickly evaluate whether your data is creating fair outcomes. “I’m hoping is that this is something that we can make accessible and available and easy to use ...

In this article, we recognize the profound effects that algorithmic decision-making can have on people's lives and propose a harm-reduction framework for algorithmic fairness. We argue that any ...

BKC Faculty Associate Ben Green writes about the challenge of creating equitable policy reforms around algorithmic fairness. “Efforts to promote equitable public policy with algorithms appear to be ...