Definition
Bias (in AI)
When an AI system produces results that systematically favor or disadvantage certain groups, often because of skewed training data.
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
Attention mechanismA technique that lets a neural network focus on the most relevant parts of its input when producing each piece of output. It is the core idea behind transformers.Auditable Thinking TraceA transparent log of how an AI system arrived at its conclusions, including citations and reasoning steps. Required for legal AI deployments where attorneys must be able to verify and defend every recommendation.BackpropagationHow neural networks learn from mistakes: the error is traced backward through the network to work out which connections to adjust.Bayesian networkA model that maps how variables influence each other using probabilities, useful for reasoning about causes and likely outcomes.Bio-AI hybridSpotitEarly's term for a platform where a biological sensor sits at the front of the pipeline and machine learning handles interpretation and verification.Brand Knowledge GraphEmberos's proprietary mapping of how a brand's entities, products, narratives, and digital assets relate to each other across the internet, enabling predictive visibility modeling.BYO-LLM (Bring Your Own LLM)An architecture pattern where enterprise customers plug their own AI vendor API key into a product so data flows through their existing legal agreements rather than a vendor's.CAI (Collective AI)Collective Health's AI suite built with Google Cloud, spanning a member concierge, an agent copilot, and an enrollment tool.