Definition
Intersectional Bias
Discriminatory model behavior that appears when demographic groups are combined — for example, a model that performs well for Black men and well for women, but poorly for Black women specifically. Requires testing at the intersection, not just the individual attribute level.
From the episode “The Behavioral Health Crisis Is a Data Problem”Hear it on the podcast1 episode
Learn the language of AI-native founders
Every week: the new terms, tools, and workflows founders are using, straight from the podcast.
Related terms in AI Fundamentals
Inference Engine (AI Context)In the context of Loman.ai, a system that draws contextual inferences from every customer interaction and stores them as a persistent diner profile. Rather than simply transcribing what the caller says, the inference engine captures implicit signals: background noise suggesting children or a social context, dietary patterns suggested by order history, regular timing patterns, and other behavioral cues. These inferences are used to personalize future interactions (surfacing likely orders, suggesting relevant upsells) and will eventually enable personalized outreach. The term distinguishes this layer of contextual reasoning from simple speech transcription or menu lookup - it is the layer that makes the AI agent feel like it knows the customer rather than merely recognizing their phone number.Intelligence boundaryTarun's term for the undefined line between the data you hand a model and the understanding that model derives from it.Intelligence layerThe analysis and decision-support layer built on top of the knowledge layer.InterpretabilityHow well people can understand why an AI model produced a particular decision or output.ISO 42001International standard for AI management systems. The certification founders can pursue to signal trustworthy AI operations to enterprise clients and regulators.Jungian Archetypes in AI DesignThe application of Carl Jung's psychological archetype framework to AI persona design. Jung identified universal character patterns - the Hero, the Caregiver, the Sage, the Trickster, and others - that appear across cultures and resonate at a deep psychological level because they reflect fundamental human experiences and needs. When applied to AI, these archetypes create personas that feel immediately familiar and emotionally coherent. Commitify's Drill Sergeant maps to the Hero/Warrior, the Zen Master to the Sage, the Slay Bestie to a modern Trickster/Companion archetype. The framework provides a rigorous basis for persona differentiation beyond surface-level tone.k-NN (k-Nearest Neighbors)A simple algorithm that classifies something by looking at the k most similar examples it already knows.Knowledge baseA stored, structured collection of information an AI can draw on when answering questions or making judgments.