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 ...

Who gets the job interview. Who receives public benefits. Who is flagged as high risk. Increasingly, these outcomes are ...

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 ...

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: ...

As artificial intelligence (AI) increasingly integrates into decision-making across industries, concerns about trust, fairness, transparency, and ethical considerations continue to shape user adoption ...

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 ...

Researchers at the University of Navarra present this new prediction methodology that could help governments and companies eliminate algorithmic discrimination and ensure fairness in critical decision ...

With the ever-growing presence of artificial intelligence (AI), algorithms are the invisible hands shaping decisions about housing, loans, healthcare, employment, and even criminal justice. As AI ...

December 15th, 2023 Experts shed light on innovative insights into the music streaming landscape Brussels, 14/12/2023—A team of researchers, led by Heritiana Ranaivoson (VUB), has just released a ...