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 study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

Healthcare is undergoing an artificial intelligence (AI) revolution. Facilitated by improved infrastructure for handling large quantities of data, AI-derived tools are quickly becoming integrated in ...

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 ...

Forbes contributors publish independent expert analyses and insights. I break down barriers so women can break through in tech. It matters who is in the room when technology decisions are being made.

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 ...