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 ...

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 ...

Artificial intelligence (or AI) technology is rapidly transforming industry norms and creating new possibilities along with moral, ethical, and legal implications. The Society for Human Resource ...

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

The disproportionate burden of COVID-19 among communities of color and a necessary renewed attention to racial inequalities have lent new urgency to concerns that algorithmic decision-making can lead ...

Copies of Senate amendments during a vote-a-rama at the US Capitol in Washington, DC, US, on Tuesday, July 1, 2025. Donald Trump's $3.3 trillion tax and spending cut bill passed the Senate Tuesday ...

University of Calgary provides funding as a founding partner of The Conversation CA. University of Calgary provides funding as a member of The Conversation CA-FR. A public interest group filed a U.S.

For centuries, systemic bias has shaped how Americans live, work and are governed. It influences who receives quality health care, which neighborhoods are over-policed and whose concerns make it into ...

Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...