A new study has identified widespread use of problematic epistemologies—or knowledge production functions—across large language models and agentic AI systems, according to reporting from Morningstar. The research suggests these foundational approaches to generating knowledge may present challenges for the reliability and validity of AI-driven outputs. The findings raise questions about how contemporary AI systems construct and validate information.