AI in Business aims to bring together academics and practitioners to examine how artificial intelligence is reshaping businesses. Since its inception, AI is now commonly found in a wide range of business domains, ranging from operations, customer engagement, and innovation. This symposium will provide a platform to explore both the strategic implications of AI as well as the technological implications of AI to focus on topics such as use of AI in Strategic Decision-making and Forecasting, Operations and Intelligent Systems, Innovation, Ethics and Governance, Learning and Human Development, and Healthcare.
We invite contributions that align with the symposium's theme, including but not limited to: Strategic Planning; Sales/Demand Forecasting; Predictive and Prescriptive Analytics; Operations and Supply Chain Management; Automation and Robotics; Internet of Things (IoT) and AI Integration; Finance and Economics; Marketing; Human Resources and Behavioral Analytics; LLM Agents; Ethics and Governance; Other related topics in AI and business applications.
The symposium will feature a diverse program that includes invited keynote speakers, contributed talks, tutorial/workshops, social activities, and panel discussion sessions. Refer to the AAAI 2026 Summer Symposium main webpage for more information.
Attendance is open to academics, practitioners, and policymakers working in the fields of AI, machine learning, and data science, as well as graduate students and researchers specializing in AI applications for business or related disciplines.
We invite submissions of abstracts (not exceeding 1 page) OR full papers (not exceeding 8 pages, see templates in AAAI-25 Author Kit). Submissions are through the AAAI Official EasyChair platform. Accepted abstracts/papers will be published in the AAAI Proceedings.
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Nahid Jafari
Associate Professor
State University of New York-Farmingdale, USA
General Chair
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Hyejin Cho
Associate Professor
State University of New York-Farmingdale, USA
Co-chair
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Mohammed Quazi
Assistant Professor
West Virginia University,
USA
Co-chair
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Amine Aboussalah
Assistant Professor
NYU Tandon School of Engineering,
USA
Title: From Data Scarcity to Decision Resilience: A Principled Framework for Generative Modeling in Finance and Operations
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Four Points by Sheraton Josun
Seoul Myeongdong
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Nine Tree by Parnas
Seoul Myeongdong II
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Pullman Ambassador
Seoul
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The Summit Hotel
Seoul Dongdaemun
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