Disrupting the Black Box of AI

In the final episode of this three-part AI series, Dr. Tamara Schwartz and Jena Jordahl explore the language beneath artificial intelligence: mathematics itself. Moving beyond data provenance and intellectual lineage, they examine how math is not merely numbers, but a language of verbs and adverbs — a language of process, transformation, and production. When we understand mathematics as describing movement, relationships, and change, AI becomes less mysterious and more traceable. This reframing lays the groundwork for building “white box” AI systems that are transparent, explainable, and structurally understood rather than opaque black boxes. In an era of algorithmic decision-making and increasing VUCA, the ability to see and interpret the processes inside AI systems is foundational to trust, cognitive security, and responsible innovation.