Plain-English AI Glossary

Designing tech so everyone can use it, including people with disabilities.

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How often a model gives the correct answer.

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An AI that can take steps to complete a task.

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A hypothetical AI that could perform any intellectual task a human can.

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An AI tool that helps with tasks by conversation.

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Thinking carefully about right and wrong uses of AI.

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Practices that keep AI systems reliable and non-harmful.

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The field focused on making AI systems safe and reliable.

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A product that uses AI to help you do something.

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Amazon's voice assistant found in Echo devices.

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A step-by-step set of rules that tells a computer what to do.

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Making sure AI behaves in line with human goals and values.

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Measuring and studying data to understand patterns.

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Labels or notes added to data to make it usable for training.

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The company that makes the Claude AI assistant.

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A way for software to talk to other software.

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Apple's suite of AI features built into its devices.

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Programs you install on phones or computers.

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Software that can perform tasks that normally require human thinking, like understanding language or spotting patterns.

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A mobile or web app that provides AI assistance.

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When an AI remembers information to personalize future chats.

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How a chatbot or assistant handles your personal information.

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Options that control how an AI assistant behaves.

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AI features that help with daily tasks.

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Tools that help people with disabilities use tech more easily.

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A method that helps models focus on the most important parts of input.

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Sound data that AI can analyze or generate.

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Digital content layered on top of the real world.

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A feature that finishes a word or phrase as you type.

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A feature that fixes typos as you type.

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Using software or machines to do tasks automatically.

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A car or vehicle that can drive itself using sensors and AI.

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The ability for a system to act on its own.

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A copy of your files in case something goes wrong.

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A standard test used to compare models.

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Unfair or one-sided results caused by skewed data or design choices.

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How payments are charged and recorded.

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A shared digital record that is hard to change.

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A rectangle that marks where an object is in an image.

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How a company presents itself visually and emotionally.

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A step-by-step reasoning process used to solve a problem.

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A list of changes in a new release.

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A program you can talk to in text or voice.

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An AI assistant from OpenAI that answers questions and helps with writing.

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An AI assistant from Anthropic known for clear, friendly explanations.

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Using remote servers over the internet instead of your own device.

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Grouping similar items without pre-made labels.

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People who use and improve a tool together.

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Following laws and rules.

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AI that understands images and videos.

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Clear permission for a company to use your data.

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The text, images, and media on a website or app.

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Rules that describe what content is allowed.

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How much text a model can consider at once.

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Small files that websites store to remember you.

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An AI helper from Microsoft that assists with writing, coding, and tasks.

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Written text used in marketing or on websites.

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A program that scans and collects web pages for search engines.

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AI that helps make art, music, or writing.

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Digital money secured by cryptography and blockchain.

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A planned set of lessons.

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Helping users solve problems or answer questions.

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The practice of defending computers and networks.

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An OpenAI tool that generates images from text.

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A screen that summarizes key numbers and trends.

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Information that a computer can store and use.

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A gradual change in data that can reduce model accuracy.

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Collecting only the data you actually need.

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A collection of data used for training or testing.

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When real-world data changes so a model performs worse.

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Spreading control across many computers instead of one owner.

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Choosing between options based on information.

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A type of machine learning that uses very large neural networks with many layers.

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AI-made media that looks real but is actually fake.

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Putting an app or model into real-world use.

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Planning how something looks and works.

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Software that helps people build apps or models.

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A piece of hardware you use, like a phone or tablet.

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Software that helps you with tasks like scheduling or writing.

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Written guides explaining how to use something.

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Changes over time that can hurt model performance.

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A small flying robot controlled by software or a person.

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Processing data on or near the device instead of in a distant cloud.

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Structured learning with lessons and practice.

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A way to turn text or images into numbers that capture meaning.

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Scrambling data so only the right people can read it.

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A real-world thing in data, like a person or place.

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Testing an AI to see how well it performs.

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How well we can understand why an AI made a decision.

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AI that identifies people by their face.

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Verifying AI output against trusted sources.

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Ensuring AI treats people equally and without discrimination.

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A list of frequently asked questions and answers.

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Doing a task after seeing a few examples.

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Training an existing model on a smaller, specific set of data to specialize it.

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A prediction about the near future.

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Online spaces where people discuss questions and ideas.

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Deceiving people to steal money or information.

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A free version with paid upgrades for extra features.

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How AI might develop and affect society over time.

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A European privacy law that gives people more control over their data.

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Google's AI assistant, integrated into Google services and apps.

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When a model works well on new data it has not seen before.

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AI that creates new content like text, images, or audio.

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Google's AI research lab behind systems like AlphaFold and Gemini.

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How organizations set rules and oversight for AI.

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A family of language models made by OpenAI that powers tools like ChatGPT.

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A tool that fixes grammar and sentence structure.

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Linking AI outputs to real sources or evidence.

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Safety rules that limit what an AI can do.

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Step-by-step instructions for users.

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When an AI confidently makes something up that is not true.

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The physical parts of a computer or device.

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A wearable device for VR or AR experiences.

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Technology used to support health and medical care.

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Where a website or app lives on the internet.

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A person reviews or approves AI outputs.

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When someone uses your personal details to pretend to be you.

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AI tools that remove, add, or change parts of an image.

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AI that creates images from text descriptions.

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AI that identifies objects or people in images.

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Designing products that work for people with different needs.

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Organizing content so it can be found quickly.

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Using a trained model to make predictions or outputs.

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The underlying hardware and services that run software.

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Connecting tools so they work together and share data.

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The part of a product you see and use.

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Everyday devices connected to the internet.

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How easy it is to understand a model's behavior.

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The typing tool where predictive text and autocorrect appear.

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Words or phrases people search for.

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A collection of documents used to answer questions.

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A structured map of facts and how they relate.

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A model that predicts and generates text.

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A model trained on huge amounts of text so it can generate and understand language.

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The delay between a request and a response.

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Gaining knowledge through study or practice.

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Individual learning units within a course.

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Legal terms that say how software or data can be used.

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A family of open models released by Meta.

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Adapting content for a specific country or culture.

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Building software with minimal hand-written code.

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A way for computers to learn from examples instead of being told every rule.

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Keeping systems updated and running smoothly.

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Harmful software designed to steal data or damage devices.

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Sharing information about a product to reach people.

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Stored information that can shape future AI responses.

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Meta's AI team and products used across Facebook, Instagram, and more.

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A concept for shared online virtual worlds.

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Numbers used to measure performance.

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Microsoft's AI assistant inside Windows and Office.

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A popular AI image generator with a distinct artistic style.

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False information that spreads, sometimes accidentally.

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A blend of real and virtual elements that interact together.

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The trained system that produces AI results.

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A document explaining how a model works and its limits.

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Watching how a model performs over time.

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Filtering content to reduce harmful or unsafe outputs.

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Working in more than one language.

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AI that works with more than one type of data, like text and images.

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AI built to do one specific task very well.

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Technology that helps computers understand and generate everyday human language.

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A computer system built from layers of tiny calculators that work together to recognize patterns.

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Building software with visual tools instead of programming.

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AI that finds and locates items within an image.

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Software with code that anyone can view, use, and improve.

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An AI model whose code or weights are publicly available.

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The company behind ChatGPT and the GPT models.

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A choice to stop data collection or marketing.

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Improving a system to get better results, like higher accuracy or lower cost.

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Human review of AI decisions and behavior.

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A value inside a model that helps decide its output.

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How fast and reliable a system is.

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Customizing experiences based on your preferences or behavior.

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A scam that tricks people into giving personal information.

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Deciding what steps to take to reach a goal.

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Rules that guide how something should be used.

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How many of the model's positive results are actually correct.

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An estimate of what will happen based on data.

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Suggestions that guess what you will type next.

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How much a product or service costs.

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Keeping your personal information under your control.

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A repeatable way of doing something.

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Getting more done with the same effort.

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The message or instruction you give an AI.

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Writing prompts in a way that improves AI outputs.

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A saved collection of prompts you can reuse.

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Making content available to the public.

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How good or useful an output is.

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A method where AI retrieves facts from a source before writing an answer.

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Malware that locks your files until you pay.

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Using steps and logic to reach an answer.

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How many of the real positives the model finds.

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AI that suggests items you might like.

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Learning by trial and error using rewards.

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A new version of software or a model.

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How consistently a system works as expected.

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Sharing results and metrics in a clear format.

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Careful study and testing to learn new things.

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Finding relevant information before generating an answer.

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Another name for RAG, where AI pulls facts from sources before writing.

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A model that scores outputs so AI learns what is good.

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The chance that something could go wrong.

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A machine that can perform physical tasks on its own or with guidance.

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Software you use through a browser instead of installing.

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Choosing outputs based on probabilities instead of one fixed answer.

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Samsung's AI features for Galaxy phones.

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How well a system handles growth in users or data.

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Tricks designed to get money or data from you.

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A possible situation used for planning or testing.

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Finding information by matching queries to documents.

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Protecting systems and data from harm.

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Search that focuses on meaning rather than exact keywords.

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A device that measures something like motion, light, or temperature.

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AI that detects emotion or tone in text.

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Improving a site so it ranks higher in search results.

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Delivering model outputs to users in real time.

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A computer-made model of a real-world system.

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Apple's voice assistant for iPhone, iPad, and Mac.

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A file that lists pages on a website for search engines.

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A home with connected devices you can control digitally.

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A speaker with a voice assistant built in.

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A phone that runs apps and connects to the internet.

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Programs that run on computers or phones.

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A video generation model from OpenAI.

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Computing that understands and uses physical space.

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Technology that turns spoken words into text.

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Software that finds and fixes spelling mistakes.

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An open source model used for generating images.

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Paying regularly for ongoing access to a service.

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Helpful recommendations shown by software.

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AI that shortens long text into key points.

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Training with labeled examples where the right answer is known.

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Help from a company or community when something goes wrong.

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Instructions given to an AI to define its role and behavior.

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A setting that controls how creative or predictable an AI is.

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Pre-made structures you can fill in.

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Written words that can be analyzed or generated by AI.

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AI that writes new text based on a prompt.

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Technology that reads written text out loud.

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Reducing the time a task takes.

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A small chunk of text that a language model processes.

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Apps or features used to get tasks done.

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Recording user activity to understand behavior or show ads.

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The process of teaching an AI by showing it lots of data.

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The examples used to teach an AI model.

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Reusing a model trained on one task to help with another task.

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A neural network design that is especially good at language tasks.

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Converting text or speech from one language to another.

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A model specialized in translating between languages.

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Being clear about how AI works and how data is used.

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Confidence that a system is reliable and safe.

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Learning patterns from data without labels.

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How often a system is available and working.

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How easy a product is to use.

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How a product feels to use.

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A list of numbers that represents something like a word or image.

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A database built to store and search embeddings.

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Numbering changes to software over time.

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AI that creates short videos from text or images.

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A fully digital environment you can look around in.

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An AI you speak to for help with tasks or questions.

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An automated phone assistant you can speak with.

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AI that can mimic a person's voice using samples.

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An app or device that stores your cryptocurrency keys.

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Adding a hidden mark to AI content to show its source.

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A device you wear that tracks information or provides features.

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A vision of the internet built on decentralized technologies.

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An automated message sent when something happens in an app.

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The steps you take to complete a task.

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Connecting apps so tasks happen automatically.

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AI features that help you write more clearly and quickly.

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Doing a task without seeing specific examples first.

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