Educators
From Policy to Practice: Responsible AI in Business Schools
Webinar This webinar will take place 10:00 a.m.–11:00 a.m. Eastern Time.
Business schools have crossed the line between experimenting with AI and operating with it. AACSB's January 2026 Framework for AI in Business Education documents this shift from planning to execution across 48 schools and names ethical and responsible AI use as a baseline accreditation expectation. At the same time, an AACSB-referenced 2025 dean and faculty survey found that nearly 45 percent of schools lack the coordinated governance needed to translate AI policies into practice. Ninety-seven percent of schools now reference AI in their accreditation materials.
This webinar takes participants through the three domains where AI decisions get made every day in a business school: research and thought leadership, pedagogy and assessment, and administration and governance. Each block combines frontier research, lived administrative experience, and a concrete exercise that participants can take back and adapt at their own institutions.
Who Should Attend
• Deans, associate deans, and department chairs with responsibility for AI-related decisions
• Assurance of Learning, academic integrity, and curriculum committee leads
• Researchers, PhD program directors and students, and faculty
• Relevant staff members and teaching-and-learning center affiliates advising on AI integration
Speakers
Liad Wagman is Dean of the Lally School of Management at Rensselaer Polytechnic Institute (RPI), Professor of Economics, and Academic Affiliate at the International Center for Law and Economics. He previously served as Dean and John and Mae Calamos Dean Endowed Chair at the Stuart School of Business at Illinois Institute of Technology, and as Senior Economic and Technology Advisor at the United States Federal Trade Commission. At the FTC he led a multi-year study spanning two White House administrations that covered over 1,000 technology acquisitions by Alphabet, Amazon, Apple, Meta, and Microsoft between 2010 and 2019, and, among other government contributions, he was lead author of the United States contribution to the OECD on consumer data rights and competition.
He has held visiting and research appointments, including at Northwestern's Kellogg School of Management and Duke University. His research sits at the interface of business and technology, spanning market competition and antitrust, data utilization and privacy, AI, innovation, and new venture financing, and is published across economics, finance, law, operations research, and marketing. He is a recipient of the Sigma Xi Excellence in Research Award, the Antitrust Writing Award, the International Conference on Artificial Intelligence Outstanding Paper Award, the Institute of Industrial and Systems Engineers Best Paper Award, and multiple teaching honors, and was named to the Poets and Quants Top 40 Business School Faculty Under 40. He has provided federal testimony, expert-witness work, amicus briefs, and consultations to Fortune 500 companies, and regularly advises startups, think tanks, governments, and non-governmental organizations.
Contact Us
For more information, please contact [email protected].
Conference