As AI becomes part of everyday decision-making, it’s important to understand that these systems reflect the data and choices behind them. This course helps employees and managers recognise bias in how data is collected and how algorithms make predictions. Learners explore real-world examples across hiring, healthcare, and customer service to see how unfair patterns can affect people and outcomes. The course also introduces simple, practical steps to question data sources, review results critically, and promote fairness in everyday AI use. By the end, participants will be more confident in spotting potential bias and supporting responsible, transparent AI decisions.