Diversity, Equity, and Inclusion DEI

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.