
Technology & AI Vocabulary
Learn the English words behind modern tech and AI: algorithm, privacy, automation, bias, and more.
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Terms in this deck
- algorithma set of rules a computer follows to solve a problem
- privacythe state of being free from unwanted attention to your personal information
- automationthe use of machines or computers to do tasks without human effort
- biasan unfair preference that affects results, including in AI systems
- data breachwhen private information is accessed without permission
- artificial intelligencetechnology that allows machines to learn and make decisions
- machine learninga type of AI where computers learn patterns from data
- chatbota computer program that simulates conversation with people
- deepfakea fake video or audio made using AI to look real
- facial recognitiontechnology that identifies a person from their face
- cybersecuritythe protection of computer systems from digital attacks
- encryptionconverting information into a code to prevent unauthorized access
- hackersomeone who gains unauthorized access to computer systems
- cloud computingstoring and accessing data over the internet instead of a local computer
- big datavery large sets of data analyzed to find patterns
- neural networka computer system modeled on the human brain, used in AI
- surveillanceclose monitoring of behavior, often through cameras or technology
- digital footprintthe trail of data a person leaves behind online
- augmented realitytechnology that overlays digital content onto the real world
- virtual realitya computer-generated environment that simulates a real or imaginary place
- autonomousable to operate without human control
- misinformationfalse information that spreads, often unintentionally
- innovationa new idea, method, or device
- disruptiona fundamental change that transforms an industry or process
- upgradeto change a system or device to a newer, better version
- updateto install the latest version of software or information
- interfacethe means by which a user interacts with a computer system
- databasean organized collection of data stored electronically
- bandwidththe capacity of a network to transfer data
- generative AIAI that can create new text, images, or other content
- promptthe text you give an AI to tell it what to do
- open-sourcesoftware whose code is publicly available for anyone to use or change
- internet of thingsa network of everyday devices connected to the internet
- blockchaina digital system for recording transactions across many computers securely
- cryptocurrencydigital money that exists only online and isn't controlled by a bank
- biometricrelating to the measurement of unique physical features, like fingerprints
- voice assistanta program that responds to spoken commands
- smart homea home with devices that can be controlled remotely or automatically
- wearable technologyelectronic devices worn on the body, like smartwatches
- digital dividethe gap between people who have access to technology and those who don't
- patenta legal right that protects an invention from being copied
- source codethe original text of a computer program before it runs
- debugto find and fix errors in a computer program
- user experiencehow easy and enjoyable a product is for the person using it
- latencythe delay before data transfer begins after a request is made
- scalableable to grow or handle more demand without major changes
- roboticsthe design and building of robots
- dronea small flying device controlled remotely or by computer
How to study this deck
Artificial intelligence is in the news, at work and on social media, and its vocabulary is used more and more in English. Study by area: concepts (algorithm, machine learning, chatbot), risks (bias, deepfake, data breach) and security (privacy, encryption, cybersecurity). Practice giving opinions about technology with examples from your daily life.
The trickiest words
- bias: it means an unfair tendency or prejudice: "algorithmic bias".
- data breach: it is an incident in which private data is exposed.
- deepfake: it is a fake video or audio made with AI that imitates a real person.
Examples in context
The app uses an algorithm to recommend videos.
The system uses machine learning to detect fraud.
A hacker broke into the server.
The app uses augmented reality to show furniture in your room.
She upgraded her phone to the latest model.
She wrote a detailed prompt for the chatbot.
I asked my voice assistant to set a timer.
He spent hours debugging the app.
Mini dialogue
- A: Do you use a chatbot at work?
- B: Yes, but I worry about privacy and bias.
- A: There was a data breach last month.
- B: That is why encryption and cybersecurity matter.