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 ...

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 ...

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 ...

An economist explores the gender data bias behind credit scoring and borrowing money from the bank that excludes women worldwide, denying them the same economic rights as men.

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 ...

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 ...

For a developer or marketer, "Algorithmic Fairness" is the silent engine that drives long-term LTV (Lifetime Value).

As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and disparate impact are considered. However, when you dig into the stats, these ...

This study develops an algorithmic framework for incorporating fairness constraints into sequential search problems where inspecting each candidate is costly. The framework generalizes classical ...

Overview:  Algorithmic management is transforming how companies hire, monitor, and evaluate employees in 2026While AI boosts efficiency and scale, it often ...