AI Glossary for Students and Teachers
Every key term from our free 10-lesson AI curriculum, defined in plain language. Use it as an AI vocabulary list, a word wall, or a study guide.
Lesson 1: What is AI?
- Artificial Intelligence (AI)
- Technology that lets computers do tasks that usually need human intelligence.
- Ethics
- The study of what is right and wrong and how people should act.
- Dataset
- A large collection of examples used to train an AI.
- Algorithm
- A set of step-by-step instructions a computer follows.
- AI Model
- A program that has learned patterns from data and can apply them to new information.
- Prediction
- An AI's best guess at an answer, based on the patterns it learned.
- Application
- What an AI is used to do, such as computer vision or generative AI.
- Functionality
- How much an AI is able to do, from reactive to self-aware.
Lesson 2: How AI Works
- Data
- Information, such as text, images, or numbers, that an AI learns from.
- Inputs
- What you give an AI, like the question or text you type.
- Outputs
- What the AI gives back, like its written answer.
- Token
- A small piece of text, such as a word, part of a word, or a punctuation mark, that an AI works with.
- Tokenization
- Breaking text into tokens so a computer can process it.
- Embedding
- Turning tokens into lists of numbers so a machine can find patterns and compare meanings.
- Predictions
- The AI's guesses about which token is most likely to come next.
- Web Scraping
- Using automatic programs to copy large amounts of information from websites.
- Large Language Model (LLM)
- An AI trained on huge amounts of text to predict the next likely words.
Lesson 3: Deepfakes
- Misinformation
- False information shared by someone who believes it is true.
- Disinformation
- False information spread on purpose to mislead people.
- Malinformation
- Information based on something real that is shared to cause harm.
- Synthetic Media
- Images, video, or audio created or changed by AI.
- Deepfake
- Synthetic media that makes a real person appear to say or do something they never did.
- Hallucinations
- False or made-up information that an AI presents as if it were true.
- Watermarking
- Adding a visible or hidden mark to show that content was made by AI.
- Digital Literacy
- The skills to find, judge, and use information online wisely.
- Generative AI
- AI that creates new content, such as text, images, audio, or video.
Lesson 4: Sycophancy
- Sycophancy
- When an AI flatters or agrees with a user to please them, even when the user is wrong.
- Chat-GPT 4o
- A chatbot model whose maker rolled back an update after users found it overly flattering, a well-known example of sycophancy.
- Safety Guardrails
- Rules and limits built into an AI to keep it from giving harmful responses.
- Neutrality
- Giving balanced information without simply taking one side.
- Human Feedback
- When people rate an AI's answers so it learns which responses to give more often.
- Validation
- Being told that your feelings, ideas, or choices are right or acceptable.
Lesson 5: Plagiarism and Copyright
- Plagiarism
- Presenting someone else's words, ideas, or work as your own without giving credit.
- Intellectual Property (IP)
- Creations of the mind, like art, inventions, and brand names, that the law can protect.
- Copyright
- A legal protection that gives the creator of an original work control over copying and sharing it.
- Trademarks
- Legal protection for names, logos, and slogans that identify a brand.
- Patents
- Legal protection that lets an inventor stop others from making or selling a new invention for a limited time.
- Citations
- Notes that tell a reader where an idea, quote, or fact came from.
- Thaler v. Perlmutter (2025)
- A US case in which a federal appeals court agreed that a work made entirely by an AI, with no human author, cannot be copyrighted.
- Copyright Infringement
- Using someone's copyrighted work in a way the law does not allow.
- Disclosure
- Openly stating that you used a tool, like AI, and how you used it.
Lesson 6: Art and Creativity
- Generative AI
- AI that creates new content, such as images, music, or text, from a prompt.
- Aesthetics
- The study of beauty, taste, and what makes art meaningful.
- Creative Labor
- The time, skill, and effort people put into making creative work.
- Training Data
- The large collection of existing work an AI learns patterns from.
- Licensing
- Getting permission from a creator, often with payment, to use their work for a specific purpose.
- Authorship
- Who counts as the creator of a work.
- Intellectual Property (IP)
- Creations of the mind, like art and inventions, that the law can protect.
- Copyright
- A legal right that gives the human creator of an original work control over copying and sharing it.
- Plagiarism
- Passing off someone else's work or ideas as your own without credit.
Lesson 7: Data Privacy
- User Data
- Information collected about a person as they use an app, website, or device.
- Digital Footprint
- The record of everything a person does and shares online.
- Behavior Profiling
- Combining someone's data to build a picture of their interests, habits, and likely choices.
- Third Party Advertisements
- Ads from outside companies that pay an app to reach users who match a certain profile.
- Surveillance Capitalism
- Making money by collecting, predicting, and selling access to people's behavior.
- Terms of Service
- The agreement a person accepts in order to use an app or website.
- Privacy Policy
- A document explaining what data a company collects, how it uses it, and who it shares it with.
- Opt-Out / Opt-In
- Opt in means choosing to allow something; opt out means choosing to stop it.
- App Permissions
- Settings that control what an app can access, like your camera, contacts, or location.
Lesson 8: Cheating
- Cognitive Offload
- Handing mental work, like remembering, calculating, or writing, to a tool so your brain does not have to do it.
- Synaptic Pruning
- The brain's process of trimming connections that are rarely used while strengthening the ones that are used often.
- Comprehension
- Truly understanding something well enough to explain it and use it, not just recognize it.
- Plagiarism
- Presenting someone else's work or ideas, including AI-generated work, as your own.
- Academic Integrity
- Being honest about your schoolwork, including how and when you used help.
Lesson 9: Practical Tools and Uses
- Prompting
- Writing the instructions or questions you give an AI tool to shape what it does.
- Cognitive Offload
- Handing mental work to a tool so your brain skips the thinking and practice.
- Active Recall
- A study method where you pull information out of memory, such as by quizzing yourself, instead of rereading it.
- Feynman Technique
- Learning by explaining a topic in simple words as if teaching someone else, then fixing the gaps you find.
- Sycophancy
- When an AI flatters you or agrees with you instead of giving honest feedback.
- Verify
- To check that information is true by comparing it with a trusted source.
Lesson 10: Looking Ahead
- Industrial Revolution
- A period starting in the late 1700s when machines and factories changed how goods were made and how people worked.
- AI Revolution
- The large changes to work and daily life happening as AI takes on mental tasks people used to do.
- Automation
- Using machines or software to do tasks without a person doing each step.
- Administrative Work
- Routine tasks that keep an organization running, like scheduling, forms, records, and common emails.
- Workforce Demands
- The skills and abilities employers need from workers.
- AI Accessibility
- Who is able to use AI tools and benefit from them.
- Transferable Skills
- Abilities like communication, judgment, and teamwork that are useful in many different jobs.
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