We invite submissions for the 2nd Annual Fisher AI in Business Conference, hosted by the Max M. Fisher College of Business at The Ohio State University.
Dates: October 14–16, 2026 | Columbus, OH
Website: https://fisher.osu.edu/ai-in-business
Submission Deadline: July 31, 2026 (rolling decisions through August 15)
THEME: AI Innovation at Scale
OVERVIEW
This year's expanded 2.5-day program brings together academic researchers and business practitioners to examine how AI is reshaping industries, institutions, and the people within them.
The conference runs across two overlapping tracks:
Industry & Practitioner Track - Oct 14–15 (Wed–Thu)
Academic Research Track - Oct 15–16 (Thu–Fri)
Thursday serves as a shared bridge day, with sessions drawing from both tracks. Registration covers full access to all three days. Registration rates for industry, academic, and student attendees will be announced at https://fisher.osu.edu/ai-in-business.
SUBMISSION TYPES
Industry Track
• Case Study Presentation: Real-world AI in business experience; 20–30 minutes with discussion
• Panel Session: Moderated discussion with multiple perspectives on a shared topic; 45 minutes with audience Q&A. Panelists and moderator should be confirmed before submitting.
• Other: Creative formats welcome; 20–30 or 45 minutes. Describe format and attendee takeaways in your submission.
Academic Track
• Research Presentations: Empirical, analytical, or theoretical papers
• Poster Sessions
• Best Ph.D. Student Paper Award ($1000) - full paper required, 32 pages max
• Best Junior Faculty Paper Award ($1000) - full paper required, 32 pages max
All submissions: up to 1,000 words (PDF)
TOPICS OF INTEREST
All AI-in-business topics are welcome. Areas of particular interest include:
• Generative and agentic AI in business operations, supply chain, marketing, finance, accounting, and HR
• Multi-agent systems: coordination, emergent behavior, and AI-to-AI interaction
• Human-AI collaboration inside organizations
• Enterprise AI adoption, change management, and organizational transformation
• AI governance, explainability, accountability, and ethics
• Legal, compliance, and risk implications of AI deployment
• AI and competitive strategy, business model disruption, and firm performance
• AI's impact on workers, labor markets, and reskilling
• AI in healthcare, education, and other high-stakes domains
• Benchmarking, evaluation, and ROI of AI systems
CONFERENCE CO-CHAIRS
Vince Castillo | Yuheng Hu | Hun Lee | Rakesh Mallipeddi | Yufeng Wu
Fisher College of Business, The Ohio State University
Questions: fisher-aib-conference@osu.edu
We look forward to seeing you in Columbus this October.
Hun Lee, PhD
Associate Professor
Fisher College of Business
Department of Management & Human Resources
736 Fisher Hall, 2100 Neil Avenue, Columbus, OH 43210
lee.7313@osu.edu / https://fisher.osu.edu/people/lee.7313