Medscape

Algorithmic Fairness: Mitigating Bias in Healthcare AI

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 ...
mccormick.northwestern.edu

Examining Algorithmic Fairness and Accountability

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 ...
Harvard Medical School

Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness

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 ...
Wired

Health Care Bias Is Dangerous. But So Are ‘Fairness’ Algorithms

SANDRA WACHTER is Professor of Technology and Regulation at the Oxford Internet Institute. BRENT MITTELSTADT is an Associate Professor and Director of Research at the Oxford Internet Institute. CHRIS ...
Forbes

Why Tech Executives Must Embrace Diversity As Their First Line Of Defense Against The Business Impacts Of Algorithmic Bias

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.
Harvard Medical School

A Harm-Reduction Framework for Algorithmic Fairness

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 ...
Forbes

AI Ethics Q&A Series: Minimize And Mitigate Algorithmic Harm

Manish Raghavan is one of the leading researchers on the use of computational techniques in areas of social concern, including algorithmic fairness and behavioral economics. He’s been instrumental in ...