AI Glossary

Accuracy measures how often an AI model's predictions or answers are correct compared to the true results, showing its overall performance.

Learn what is an AI assistant, the digital tool that uses AI to help users complete tasks, answer questions, and enhance productivity.

Bias in AI happens when a model unfairly favors certain ideas or groups, often because the data it learned from wasn’t fully balanced or fair.

AI literacy means understanding how AI works, its uses, and its risks, helping people make smart, ethical decisions about AI tools and technology.

An AI model is a computer program trained on data to recognize patterns and make decisions, predictions, or generate content based on that training.

Precision shows how many of an AI model’s positive results were actually correct, helping evaluate how exact the system’s responses are.

Recall measures how well an AI model finds all the correct answers, showing its ability to capture every relevant result from the data.

An algorithm is a step-by-step set of rules or instructions a computer follows to solve a problem or perform a specific task efficiently and accurately.

AI is the ability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, and decision-making.

Automation uses technology to perform tasks with little or no human help, speeding up processes like grading, scheduling, or data entry.

A chatbot is an AI tool designed to simulate conversation with users, answering questions, providing help, or chatting in a human-like way.

Classification is when an AI sorts data into categories, like labeling emails as spam or not spam, based on learned patterns.