AI Glossary
Our comprehensive glossary for AI literacy in schools, made for teachers and students in K-12 education.
AI Accuracy
Accuracy measures how often an AI model's predictions or answers are correct compared to the true results, showing its overall performance.
AI assistant
Learn what is an AI assistant, the digital tool that uses AI to help users complete tasks, answer questions, and enhance productivity.
AI Bias
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
AI literacy means understanding how AI works, its uses, and its risks, helping people make smart, ethical decisions about AI tools and technology.
AI Model
An AI model is a computer program trained on data to recognize patterns and make decisions, predictions, or generate content based on that training.
AI Precision
Precision shows how many of an AI model’s positive results were actually correct, helping evaluate how exact the system’s responses are.
AI Recall
Recall measures how well an AI model finds all the correct answers, showing its ability to capture every relevant result from the data.
Algorithm
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.
Artificial Intelligence
AI is the ability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, and decision-making.
Automation
Automation uses technology to perform tasks with little or no human help, speeding up processes like grading, scheduling, or data entry.
Chatbot
A chatbot is an AI tool designed to simulate conversation with users, answering questions, providing help, or chatting in a human-like way.
Classification
Classification is when an AI sorts data into categories, like labeling emails as spam or not spam, based on learned patterns.
Context Window
In artificial intelligence, especially in natural language processing (NLP) and machine learning, a context window refers to the amount of input data a model can “see”…
Dataset
A dataset is a structured collection of information—organized in a way that makes it easy to analyze, sort, or use in a computer program.
Deep Learning
Deep learning is a branch of artificial intelligence (AI) that teaches computers to learn from data in a way that mimics how humans learn.
Ethics in AI
Ethics in Artificial Intelligence (AI) refers to the study and application of moral principles to the development and use of AI systems.
Generative AI
Generative AI refers to a class of artificial intelligence systems designed to create new content.
Image Recognition
Image recognition is a field within artificial intelligence (AI) that allows computers to identify and understand images the way humans do, like pictures, drawings, or…
Input/Output
In artificial intelligence (AI) and machine learning (ML), input refers to the data or information fed into a system, while output is the response or result produced by…
Large Language Model
A Large Language Model (LLM) is a type of artificial intelligence designed to understand, interpret, and generate human language.
Machine Learning (ML)
Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and make decisions or predictions without being explicitly…
Natural Language Processing
Natural Language Processing (NLP) is a field within artificial intelligence (AI) that focuses on the interaction between computers and human language.
Neural Network
A neural network is a type of artificial intelligence model designed to mimic how the human brain processes information.
Overfitting
In artificial intelligence (AI) and machine learning (ML), overfitting is a common but critical issue where a model learns not only the useful patterns in its training…
Prediction
In artificial intelligence (AI) and machine learning (ML), prediction refers to the process of using data and a trained model to make an educated guess about something…
Prompt
A prompt is a piece of text, question, or instruction given to an AI system—most commonly a language model—to trigger a specific response or action.
Prompt Engineering
Prompt Engineering is the practice of designing and refining the input given to an AI system, especially to a language model such as ChatGPT, to achieve specific,…
Regression
Regression is a type of machine learning technique used to predict a numerical value rather than a category.
Speech Recognition
Speech recognition is a branch of artificial intelligence (AI) that enables computers to listen to spoken language and convert it into written text.
System Prompt
A System Prompt is a special type of instruction used in AI systems to shape the behavior, tone, and purpose of the model's responses.
Token
In the world of artificial intelligence (AI), especially when working with language models like ChatGPT, a token is a unit of text that the AI uses to process and…
Training Data
Training data is the foundational fuel for teaching an artificial intelligence (AI) or machine learning (ML) model how to make decisions or predictions.
Underfitting
In machine learning (ML) and artificial intelligence (AI), underfitting is when a model is too simple to capture the underlying patterns in the data.
