Glossary

Algorithmic bias occurs when an AI system produces systematically unfair or prejudiced outcomes due to flaws in data, model design, or deployment context.

Agentic AI is a type of artificial intelligence designed to autonomously pursue goals, make decisions, and take actions over time—often across multiple steps—without continuous human input.

Fine-tuning is the process of training a pre-existing AI model on custom data to tailor its performance for a specific task or domain.

Bayesian Optimization is a probabilistic model-based optimization technique used for finding the global optimum of objective functions that are expensive to evaluate, non-convex, and lack an analytical expression.