Speaker

Dr. Joseph Cazier, Clinical Professor of Information Systems at Arizona State University and Associate Director of the Center for AI and Data Analytics (AIDA)

Abstract

Generative AI is reshaping how we work, learn, and decide. Yet while it increases speed and fluency, it often reinforces shallow thinking—confident outputs without structured reasoning. In this seminar, I introduce AI² (Aristotelian Insight amplified by Artificial Intelligence), a framework for using generative AI not as a shortcut, but as a recursive thinking partner.

Rooted in the 2,500-year-old Aristotelian Insight Loop—Question, Model, Test, Teach, and Write—AI² provides a structured method for deep reasoning in the age of AI. When paired intentionally with generative tools, this loop accelerates insight, strengthens diagnostic reasoning, improves model application, and enhances executive-level judgment.

Drawing on classroom implementation data and professional applications, I will show how structured human–AI partnership can move faculty, students, and professionals beyond surface answers toward disciplined, falsifiable, and strategically grounded insight. The goal is not to outsource thinking to AI—but to amplify impact through hybrid intelligence.

Bio

Joseph A. Cazier, Ph.D., CAP-X, CISSP, is a Clinical Professor of Information Systems at Arizona State University and Associate Director of the Center for AI and Data Analytics (AIDA). He serves as Faculty Director of the DBA in Technology Leadership and is the author of Leading in Analytics: The Seven Critical Tasks for Executives to Master in the Age of Big Data (Wiley, 2023), also published in Mandarin by China Machine Press. Dr. Cazier has authored over 80 peer-reviewed articles and 20+ industry-focused publications, with work presented at venues ranging from academic conferences to the European Parliament and United Nations. His research and teaching focus on hybrid intelligence, analytics leadership, and structured reasoning in the age of AI.

Virtual

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