New Textbook Gives Businesses a Roadmap for Using AI

Smith School professor Sean Cao, director of the AI Initiative for Capital Market Research, has authored a free textbook on AI for accounting and finance. The book simplifies AI learning by focusing on data application rather than programming, making AI accessible to business students.

AI Research Briefs

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.

All in on AI

The Robert H. Smith School of Business at the University of Maryland is pioneering AI education to meet rising industry demand. The school's new AI center and specialized programs prepare students to address business challenges with AI, ensuring graduates' market relevance.

Smith to Deliver AI Training to Prince George’s County Small Businesses in Groundbreaking Initiative

Small businesses in Prince George’s County, Maryland, will receive AI training through a partnership between the University of Maryland’s Smith School of Business and the county’s Economic Development Corporation. This innovative program aims to equip entrepreneurs with AI skills for business growth and competitiveness.

This workshop brings together academics, thought leaders and stakeholders to discuss how analytics can support nonprofit organizations, government entities and social impact organizations in improving their reach and impact through innovative use of data and models. The overarching theme is analytics for doing good.

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Explore the transformative impact of AI on work and society with the Smith School. Our robust research delves into AI capabilities, governance strategies, and the future of labor, guiding industry and government in crafting effective AI strategies. In our classrooms, we lead in teaching generative AI, bias mitigation, and designing human-AI collaboration. Discover how our expertise can help navigate the opportunities and threats of AI innovation responsibly.
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