AI@WSB
Leveraging the latest artificial intelligence to advance business.
AI@WSB is the hub for AI research at the Wisconsin School of Business. AI is transforming businesses, and we recognize the vital role AI research plays in navigating changes and the importance of investing in the technology, infusing AI in curriculum, and leveraging industry partnerships to collaborate on cutting-edge innovation.
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Collaborating
with researchers, students, and industry partners
Applying
best practices and the latest technology
Innovating
curriculum and business practices
“Responsible AI is transforming all aspects of business, promising astonishing leaps in productivity and human creativity. At WSB, we’re at the forefront of this revolution, integrating generative AI into cutting-edge research and classroom experiences for students.”
—Neeraj Arora, WSB’s Arthur C. Nielsen, Jr. Chair in Marketing Research and Education
Research Spotlights
AI-Human Model Helps Streamline the Hiring Process
A study by WSB’s Ishita Chakraborty suggests AI-human collaboration during the recruitment process may save managerial time and still be cost-effective. AI can weed out the bottom candidates from the pool, leaving managers to focus on the top tier. The study is the first known work of its kind to use video data to better understand sales recruitment.
Ishita Chakraborty is the Thomas and Charlene Landsberg Smith Faculty Fellow and an assistant professor in the Department of Marketing at the Wisconsin School of Business.
Using Machine Learning in Online Content Moderation
A study by WSB’s Qinglai He examines what happens when “bot moderators” are used alongside their human counterparts. He analyzed data from Reddit that utilized bots and human volunteer moderators. She found that implementing bots reduced the volunteer workload and retention increased.
Read more about machine learning and online content
Qinglai He is an assistant professor in the Department of Operations and Information Management at the Wisconsin School of Business.
AI and Analytics for Marketing (AIAM)
AIAM is a state-of-the-art marketing lab that aims to make AI and analytics tools accessible for businesses of all sizes. The lab is at the forefront of research on AI and analytics, provides implementable solutions for a wide range of business problems, and offers training for teaching machine learning and AI.
Lab co-founders:
Ishita Chakraborty, Assistant Professor, Marketing
Remi Daviet, Assistant Professor, Marketing
Faculty Involved
Neeraj Arora
Large language models, digital marketing effectiveness, machine learning, marketing analytics, marketing strategy
Yash Babar
Online and offline interactions, online communities, sharing economy
Dani Bauer
Actuarial science, quantitative finance, insurance economics
Ishita Chakraborty
Digital marketing, online platforms, text and video analytics, mobile apps
Remi Daviet
Machine learning, AI, consumer perception, decision-making
Emily Griffith
AI, auditing, financial reporting, decision-making
Cheng He
Sustainability, social impact, modern retailing, online consumer behavior, digital marketing
Qinglai He
Machine-human collaboration, content moderation, UGC incentives and creativity, platform policy, platform polarization
Florence Honore
Strategic management, entrepreneurship, human capital
Allen Li
Digital platforms, information and coordination strategies, supply chains
Mahka Moeen
Entrepreneurship, strategy, mechanical engineering
Peng Shi
Machine learning, statistical learning, actuarial data science, probabilistic forecasting, predictive modeling, dependence models
Enno Siemsen
Predictive analytics, demand forecasting, sales and operations planning, operations and supply chain strategy, project management
Justin Sydnor
Economics, psychology, applied microeconomics, insurance markets, risk, decision-making
Jordan Tong
Mathematical modeling, experimental methods, operations management, analytics, behavioral science
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Interested in learning more or collaborating with AI@WSB? Reach out.