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 ...

The rental real estate market has rapidly adopted AI, streamlining processes from marketing to tenant screening, but raising concerns over fairness and loss of personal interaction. Professionals warn ...

Predictive technologies require a more enlightened approach to decision-making. The unpredictability of significant life ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new method, named hyperFA*IR, offers a more principled approach when picking ...

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 ...

UC Berkeley professor Satish Rao launches Democratic bid for governor, prioritizing data-driven equity and public education ...

A new algorithm from researchers at Koç University, Polytechnique Montréal and the University of Vienna reportedly makes it ...

Researchers from Koç University and international collaborators have developed a new algorithm that enables faster and more ...

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 ...