This paper examines the relationship between philosophy, artificial intelligence, and executive decision-making, focusing on how philosophical approaches can strengthen the search for truth in AI-supported business research. It explores rationalism, empiricism, skepticism, pragmatism, Popper’s principle of falsification, and Kuhn’s concept of paradigms as practical frameworks for evaluating AI-generated claims. The paper argues that AI should not be treated as an unquestionable source of knowledge but as an instrument for generating hypotheses, identifying patterns, testing assumptions, and supporting strategic inquiry. Ultimately, effective AI-enabled leadership requires combining computational capability with critical reasoning, evidence-based verification, and human accountability.
Keywords: Artificial Intelligence, Philosophy, Executive Decision-Making, Epistemology, Truth, Business Research, Critical Thinking
Justin Curtis Ermer Lacche
DBA Student
Department of AI & Data Science
University of Digital and AI Management
Justin Curtis Ermer Lacche is a DBA student in Applied AI Management at the University of Digital and AI Management (UniDAIM). He is a C-level technologist and strategic advisor with extensive experience applying artificial intelligence, machine learning, robotics, and data analytics to business transformation. His career includes senior leadership and consulting roles with Nike, Northwest Natural Water, and the San Francisco Giants. He has contributed to initiatives generating significant revenue growth, supply-chain improvements, and digital innovation. Lacche holds an MBA in Revenue and Emerging Technologies from Oregon State University and is a certified Project Management Professional (PMP).
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