David K Batson

David Batson is a lecturer in Management Information Systems at the University of North Carolina Wilmington, where he teaches Business Technology and Intelligence. He holds an MSc in Information Systems from Kingston University London and a BSBA with concentrations in Business Analytics and Information Systems from UNCW.

His background combines business analytics, programming, and applied artificial intelligence, including experience developing AI tools and document automation for legal technology. His interests include machine learning, generative AI, intelligent agents, AI-assisted software development, and data analysis. He is particularly interested in building practical AI artifacts, such as interactive dashboards, prototypes, and decision support tools, and exploring how agents can automate workflows and improve business processes.

His master’s dissertation focused on developing an ethical AI audit dashboard to assess fairness, transparency, and audit completeness. In his teaching, he emphasizes project-based learning and real-world applications, helping students develop technical skills and understand how emerging technologies support responsible business decisions.

Education

MSc in Information Systems, Kingston University London.

BSBA in Business Administration with concentrations in Business Analytics and Information Systems, University of North Carolina Wilmington.

Research Interests

My research interests include applied artificial intelligence, machine learning, generative AI, intelligent agents, programming, and data analytics. I am particularly interested in designing and evaluating AI-powered artifacts, including interactive dashboards, prototypes, and decision support tools that address practical business challenges. I also explore how AI agents can automate workflows, analyze information, and support collaboration between people and technology.

Additional interests include software development, AI-assisted programming, and using data analysis to improve organizational decision-making. Ethical AI remains central to these interests, particularly fairness, transparency, accountability, and responsible implementation. I am also interested in incorporating emerging technologies into information systems education through practical, project-based learning.

Honors & Awards

Earned distinction-level marks in Databases and Data Management, Agile Project Development, Business in Practice, and the MSc dissertation at Kingston University London. The dissertation focused on developing an ethical AI audit dashboard to evaluate fairness, transparency, and audit completeness.