On May 10, 2024, the University of Maryland’s Smith School hosted the AI and Analytics for Social Good Workshop, featuring experts from leading institutions discussing the use of analytics for social impact, including misinformation, platform regulation, and educational analytics.

Finance professor Agustin Hurtado’s AI research highlights racial disparities in mortgage lending, while Information Systems researchers study AI chatbots' impact on mental health counseling. Marketing professor Michel Wedel explores predicting decisions via eye-tracking, and accounting professor Rebecca Hann examines AI’s evolving role in the accounting industry.

Organized and co-sponsored by nine universities across the country including the Center for Global Business at the University of Maryland’s Robert H. Smith School of Business, Lightning Talks is a series of virtual discussions covering business resilience and how businesses can prepare for future global shocks.

Fourteen faculty teams at the University of Maryland’s Robert H. Smith School of Business have been awarded three-year grants from the school for research projects that address the world’s grand challenges and reimagine learning in support of the University of Maryland’s vision and the Smith School’s strategic plan.

Facial recognition is the ability to scan, analyze, and recognize faces. It can come with complications – especially if you’re Black. That’s what Lauren Rhue, assistant professor of information systems at the University of Maryland’s Robert H. Smith School of Business has found. Her research shows facial recognition for emotions displays racial disparities.

The University of Maryland’s Robert H. Smith School of Business is launching a nine-month, fully online certificate program designed for technical and non-technical professionals interested in leveraging data to draw insights and drive smarter decision-making for their organization.

The pitfalls to AI-driven beauty scoring begin with the premise that beauty is in the eye of the beholder.

At a time when data can influence much of our lives, it turns out that the data that researchers collect, broadly speaking, tend to be based on men’s – more than women’s – experiences.