artificial intelligence

C1
UK/ˌɑːtɪˌfɪʃl ɪnˈtelɪdʒəns/US/ˌɑːrt̬ɪˌfɪʃl ɪnˈtelɪdʒəns/

Neutral (common in academic, technical, business, and everyday contexts)

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Definition

Meaning

The theory and development of computer systems able to perform tasks normally requiring human intelligence.

A field of computer science and engineering focused on creating systems capable of learning, reasoning, problem-solving, perception, and language understanding. It also refers to the intelligent behaviour exhibited by such machines.

Linguistics

Semantic Notes

Can be used as a mass noun (e.g., 'advances in artificial intelligence') or as a countable modifier (e.g., 'an artificial intelligence system'). The abbreviation 'AI' is extremely common.

Dialectal Variation

British vs American Usage

Differences

No significant lexical or grammatical differences. Spelling conventions follow national norms for 'artificial'.

Connotations

Identical; carries the same technological, futuristic, and sometimes ethical connotations in both varieties.

Frequency

Equally high frequency in both UK and US English across all relevant domains.

Vocabulary

Collocations

strong
develop AIgenerative AIAI systemAI modelAI technologyAI researchAI algorithmAI ethicsnarrow AIgeneral AI
medium
powerful AIadvanced AIapply AIleverage AIAI startupAI assistantAI capabilityadopt AI
weak
new AImodern AIcompany's AIfuture of AIdiscuss AIstudy AI

Grammar

Valency Patterns

[verb] + AI (e.g., develop, use, create, trust, regulate)AI + [verb] (e.g., AI can learn, AI is transforming)[adjective] + AI (e.g., ethical, generative, narrow, powerful)

Vocabulary

Synonyms

Strong

AI (as direct shorthand)machine learning (in specific contexts)neural networks (in specific contexts)

Neutral

AImachine intelligencecognitive computing

Weak

smart technologycognitive systemsautomated reasoning

Vocabulary

Antonyms

human intelligencenatural stupidity (humorous)

Phrases

Idioms & Phrases

  • The AI genie is out of the bottle.
  • Black box AI
  • Garbage in, garbage out (applied to AI training).

Usage

Context Usage

Business

Refers to automation, data analysis tools, customer service chatbots, and strategic competitive advantage.

Academic

The scientific discipline encompassing machine learning, neural networks, robotics, and cognitive science.

Everyday

Refers to voice assistants, recommendation algorithms, self-driving cars, and chatbots.

Technical

Specific subfields like supervised learning, natural language processing, computer vision, and reinforcement learning.

Examples

By Part of Speech

verb

British English

  • The team aims to artificial-intelligence the entire customer service pipeline.
  • We need to AI-enable our legacy systems.

American English

  • The company is looking to AI its manufacturing process.
  • They plan to artificial intelligence the data analysis workflow.

adverb

British English

  • The system operates artificial-intelligently, adapting in real time.
  • The robot navigated the room quite AI-ly.

American English

  • The software learns artificial intelligently from user feedback.
  • The process is managed AI-ly and efficiently.

adjective

British English

  • They launched an artificial-intelligence-driven marketing tool.
  • She works in an AI-focused research centre.

American English

  • It's an artificial intelligence-based diagnostic system.
  • He leads an AI-powered startup.

Examples

By CEFR Level

A2
  • My phone has artificial intelligence. It can understand my voice.
  • Some games use artificial intelligence for the enemies.
B1
  • Artificial intelligence helps to recommend films I might like.
  • Many companies now use AI in customer service chats.
B2
  • The development of artificial intelligence raises important ethical questions about privacy.
  • Experts debate whether advanced AI could ever become a threat.
C1
  • Generative artificial intelligence models, trained on vast datasets, can produce remarkably coherent text and imagery.
  • The convergence of big data and sophisticated machine learning algorithms has propelled artificial intelligence into previously unimaginable domains.

Learning

Memory Aids

Mnemonic

Think of ARTIFICIAL as 'human-made' and INTELLIGENCE as 'smart thinking'. So, it's 'human-made smart thinking' for machines.

Conceptual Metaphor

THE MIND IS A COMPUTER (AI is seen as creating a computational mind); INTELLIGENCE IS A TOOL/RESOURCE.

Watch out

Common Pitfalls

Translation Traps (for Russian speakers)

  • Avoid direct calque 'искусственный разум' in formal technical contexts where 'искусственный интеллект' is standard.
  • Do not confuse with 'computer' (компьютер) or 'robot' (робот). AI is the intelligence, not the physical machine.

Common Mistakes

  • Using it as a countable noun for a single system (e.g., 'an artificial intelligence' is less common than 'an AI' or 'an AI system').
  • Confusing 'artificial intelligence' (the broad field) with 'machine learning' (a specific approach within AI).

Practice

Quiz

Fill in the gap
is revolutionising industries from healthcare to finance by automating complex decision-making processes.
Multiple Choice

Which of these is a core subfield of artificial intelligence?

FAQ

Frequently Asked Questions

It is almost always pronounced as the two letters 'A-I' (/ˌeɪ ˈaɪ/).

Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way we consider 'smart'. Machine Learning is a current application of AI based on the idea that we should give machines access to data and let them learn for themselves.

Typically no, as it is a mass noun referring to a field or capability. You would not say 'artificial intelligences'. For multiple systems, you say 'AI systems' or 'instances of AI'.

It is standard and appropriate in all registers, from casual conversation to formal academic papers. The abbreviation 'AI' is also acceptable in most contexts.

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