AI GOLDMINDING GLOSSARY
Artificial Intelligence (AI)
Computer systems designed to perform tasks that normally require human intelligence such as recognizing patterns, generating language, and analyzing data.
Algorithm
A set of instructions or rules that a computer follows to solve a problem or complete a task.
Automation
Using technology to perform tasks automatically with minimal human involvement.
Bias (AI Bias)
When an AI system produces unfair or inaccurate results because of the data used to train it.
Chatbot
A computer program designed to simulate conversation with human users.
Coding
Writing instructions in programming languages that tell computers what to do.
Conversational AI
Artificial intelligence systems designed to communicate with humans using natural language.
Data
Information collected and used by computers to analyze patterns or produce results.
Dataset
A collection of organized data used to train or evaluate AI systems.
Deep Learning
A type of machine learning that uses layered neural networks to analyze large amounts of data.
Deepfake
AI-generated video, audio, or images designed to imitate real people.
Digital Literacy
The ability to understand, evaluate, and responsibly use digital technology.
Encryption
A method of protecting information by converting it into coded data.
Ethical AI
The responsible design and use of artificial intelligence to ensure fairness, transparency, and safety.
Generative AI
AI systems capable of creating new content such as text, images, music, or video.
Hallucination (AI)
When an AI system generates information that appears convincing but is incorrect.
Human Oversight
Human supervision used to review and guide AI-generated results.
Large Language Model (LLM)
An AI system trained on large amounts of text to understand and generate human-like language.
Machine Learning
A branch of artificial intelligence where computers learn patterns from data rather than being explicitly programmed.
Model
The trained AI system that generates predictions or responses.
Natural Language Processing (NLP)
Technology that allows computers to understand and generate human language.
Neural Network
A computing system inspired by the structure of the human brain that helps AI recognize patterns.
Open Source
Software whose code is publicly available and can be modified by developers.
Pattern Recognition
The ability of AI systems to identify patterns within large amounts of data.
Prediction
A forecast made by an AI system based on patterns learned from previous data.
Privacy
Protection of personal data and information from unauthorized access.
Prompt
The instruction or question given to an AI system to guide its response.
Prompting
The process of communicating instructions to an AI system.
Prompt Engineering
Designing prompts carefully to produce accurate or useful responses from AI systems.
Responsible AI
The practice of using artificial intelligence ethically and safely.
Scam
Fraudulent schemes that may use AI technology to deceive people.
Synthetic Media
Content created or modified by artificial intelligence.
Training Data
Information used to teach AI systems how to recognize patterns and generate outputs.
Transparency
The ability to understand how AI systems produce their results.
Verification
Confirming that information is accurate before trusting or sharing it.
Voice Cloning
AI technology capable of replicating a person’s voice.
Workflow Automation
Using technology to streamline processes and reduce manual work.
AI Governance
Policies and rules that guide how AI technologies should be used responsibly.
Digital Footprint
The trail of information people leave online through their activities.
Misinformation
False or misleading information shared without verification.
Disinformation
False information intentionally created to deceive people.
Cybersecurity
Protecting computers, networks, and data from digital attacks.
AI Literacy
Understanding how artificial intelligence works and how to use it responsibly.
Augmented Intelligence
Using AI to enhance human decision-making rather than replace it.
API (Application Programming Interface)
A tool that allows different software systems to communicate with each other.
Understanding these concepts helps learners navigate artificial intelligence responsibly.
AI GoldMinding Academy encourages thoughtful learning, responsible technology use, and the development of strong digital literacy for families and communities.
Florence, there are two small improvements that will make this glossary even more powerful for your academy.
First, Golden should be able to answer glossary questions. If someone asks Golden “What is prompt engineering?” Golden should give a short answer and then offer a link to the glossary page.
Second, the glossary should become a downloadable resource called:
AI GoldMinding Quick Reference Guide
Students love quick-reference sheets.
If you’d like, I can also build the next powerful element for the site:
the AI GoldMinding Academy Course Curriculum (Module-by-Module) so each course becomes a structured program ready for enrollment.