Behavioral AI Lab


The Behavioral AI Lab represents a collaborative initiative between the Schools of Information Systems and Management, and Marketing and Innovation. Our lab is dedicated to advancing the understanding of artificial intelligence's role in influencing and interpreting human behavior within business contexts.

Our mission is to integrate diverse academic disciplines to develop a nuanced understanding of AI as it pertains to behavioral analysis. The research conducted within our lab aims to provide a rigorous analytical foundation for the development of intelligent systems that enhance decision-making processes in business environments.

The scope of our research encompasses a range of topics at the intersection of artificial intelligence and behavioral studies, including but not limited to consumer data analysis, algorithmic decision-making frameworks, marketing strategy optimization, and the infusion of AI into organizational structures and cultures.

The lab operates under a framework of ethical consideration, striving to ensure that AI systems are developed and implemented responsibly. We hope to engage with a broad spectrum of stakeholders, from industry partners to academic collaborators, to both inform our research and ensure its relevance to current and emerging business challenges.

The Behavioral AI Lab is committed to producing research that is not only academically rigorous but also has practical implications for the business community and beyond. Our endeavor is to contribute thoughtfully to the field of Behavioral AI, offering evidence-based insights that businesses can leverage for strategic advantage.

Some of the services that the Behavioral AI Lab plans to offer are as follows:

  • Enable faculty to do BAI research.
  • Facilitate undergraduate and graduate students to create AI artifacts
  • Help PhD students with their research agenda/pipeline.
  • Provide testing and experimentation for businesses implementing AI.
  • Provide consulting and educational services to businesses and community.
  • Run experiments for research.
  • Procure BAI funding from external competitive grants.
  • Procure resources like social bots, AI avatars, and other BAI tools for research.
  • Assist faculty with AI curriculum development and implementation.