Short answer: Artificial intelligence appears constantly in Writing Task 2 and Speaking, so precise words such as algorithm, autonomous, augment and accountability are among the fastest ways to lift your Lexical Resource band. The 30 words below come with meanings, natural collocations and example sentences you can adapt straight into an answer.
Artificial intelligence now threads through dozens of IELTS prompts: automation and jobs, self-driving cars, privacy and surveillance, and whether machines can ever replace human judgement.
Because the theme is so predictable, its vocabulary is learnable in advance — and a candidate who reaches for automation, displace and transparency instead of “robots taking jobs” and “not clear” signals a higher band at once.
This guide gives you 30 genuine Band 7+ words on artificial intelligence, each with the collocation that makes it usable and an example sentence in an essay-style context.
Why topic vocabulary lifts your Lexical Resource band
In both Writing and Speaking, Lexical Resource is one of four marking criteria, each carrying equal weight — so it accounts for a full quarter of your mark on those papers.
The public band descriptors state that Band 7 requires a range of vocabulary used with "flexibility and precision" and the use of "less common lexical items… with some awareness of style and collocation", as set out in the official IELTS Writing Task 2 band descriptors.
Preparing topic vocabulary in advance is the most efficient way to reach that standard on a predictable subject like artificial intelligence.
The honest caveat is that the descriptors reward accuracy, not decoration. A less common word dropped into the wrong collocation — “do an algorithm”, “a big automation of jobs” — reads as reach without control and can pull your band down rather than up.
That is why every entry below pairs the word with its natural partners. For a structured month of building this kind of active, in-context vocabulary across topics, follow our 30-day vocabulary plan.
30 Band 7+ artificial intelligence words
Read down the table for the meaning, then across to the collocation and the example, which shows the word doing the job it would do in a real answer.
| Word | Meaning | Collocation / common usage | Example sentence |
|---|---|---|---|
| algorithm | a set of instructions a computer follows to solve a problem or reach a decision | a machine-learning algorithm, train an algorithm | The recommendation algorithm learns from each viewer’s history to predict what they will watch next. |
| automation | the use of machines or software to perform work once done by people | increasing automation, workplace automation | Increasing automation of routine tasks has forced many industries to retrain their staff. |
| autonomous | able to operate and make decisions without human control | autonomous vehicles, an autonomous system | Autonomous vehicles rely on sensors and software to navigate roads without a driver. |
| machine learning | a branch of AI in which systems improve by learning from data rather than being explicitly programmed | machine-learning models, apply machine learning | Machine learning allows software to detect fraudulent transactions that no human could spot in real time. |
| neural network | a computing system loosely modelled on the way the brain processes information | an artificial neural network, train a neural network | A neural network trained on millions of images can identify tumours more accurately than some specialists. |
| dataset | a large, structured collection of data used to train or test a system | a training dataset, a vast dataset | The accuracy of any model depends heavily on the quality of the dataset it is trained on. |
| bias | a systematic tendency to produce unfair or skewed results | algorithmic bias, inherent bias | If a hiring tool is trained on biased data, it will reproduce that bias in its decisions. |
| augment | to add to something in order to improve or strengthen it | augment human ability, augment the workforce | Rather than replacing doctors, these tools are designed to augment their judgement. |
| predictive | able to forecast future outcomes from existing data | predictive analytics, a predictive model | Retailers use predictive analytics to anticipate demand and manage their stock. |
| surveillance | close and often continuous monitoring of people or systems | mass surveillance, surveillance technology | Facial-recognition software has made large-scale surveillance far cheaper and easier. |
| cognitive | relating to thinking, reasoning and understanding | cognitive tasks, cognitive ability | Machines are increasingly capable of cognitive tasks once thought uniquely human. |
| simulate | to imitate the behaviour of a real process or system | simulate human behaviour, simulate real conditions | Engineers use AI to simulate how a new aircraft will behave before it is ever built. |
| optimise | to make something work as effectively as possible | optimise performance, optimise a process | Delivery firms use algorithms to optimise their routes and cut fuel costs. |
| accountability | the state of being responsible and answerable for outcomes | algorithmic accountability, demand accountability | When an automated system makes a harmful decision, questions of accountability are hard to answer. |
| transparency | openness about how a system reaches its decisions | algorithmic transparency, a lack of transparency | Campaigners are calling for greater transparency in the algorithms that decide who receives a loan. |
| displace | to force out or take the place of, especially workers | displace workers, displace jobs | There are fears that automation will displace millions of workers in the coming decades. |
| ubiquitous | present or found everywhere | become ubiquitous, ubiquitous technology | Voice assistants have become so ubiquitous that many homes contain several of them. |
| disruptive | radically changing an existing industry or way of doing things | disruptive technology, a disruptive force | Generative software has proved a disruptive force in fields from design to journalism. |
| scalable | able to be expanded in size or scope without losing efficiency | a scalable solution, a scalable system | Cloud computing makes it possible to build scalable systems that serve millions of users. |
| sophisticated | highly developed, refined and complex | increasingly sophisticated, sophisticated software | Fraudsters now use increasingly sophisticated tools that can imitate a person’s voice. |
| regulate | to control an activity by means of rules | regulate the industry, tightly regulate | Governments are struggling to regulate a technology that is advancing faster than the law. |
| ethical | concerned with what is morally right | ethical concerns, ethical guidelines | The rapid spread of these systems raises ethical concerns about privacy and consent. |
| deploy | to bring a system into active use | deploy a system, deploy at scale | Before a hospital deploys such software, it must be tested on a wide range of patients. |
| capability | the power or ability to do something | computing capability, expand capabilities | The computing capability now available to researchers was unimaginable a decade ago. |
| proliferation | a rapid increase in the number or spread of something | the proliferation of, rapid proliferation | The proliferation of automated accounts has made it harder to trust what we read online. |
| redundant | no longer needed because a job has disappeared | make someone redundant, render redundant | Automation could render many administrative roles redundant within a generation. |
| accuracy | the quality of being correct and precise | improve accuracy, a high degree of accuracy | Each new version of the model has improved the accuracy of its translations. |
| innovation | a new method, idea or product | technological innovation, drive innovation | Continued innovation in this field depends on access to enormous quantities of data. |
| facilitate | to make an action or process easier | facilitate decision-making, facilitate access | These tools facilitate faster decision-making but should not replace human oversight. |
| generative | able to create new content such as text, images or code | generative models, generative technology | Generative systems can now produce essays and artwork that are hard to tell from human work. |
How to turn these words into marks
The rule that turns a word list into marks is simple: use the collocation, not the isolated word. Memorising augment is close to useless; memorising augment human ability gives you a ready-made phrase you can drop into an essay without a grammar risk.
Use one or two precise items per paragraph where they are natural, keep everything else plain and correct, and practise the words in context rather than on a flashcard.
Meet them again in genuine reading with our artificial intelligence reading practice, and build them into daily active recall with the Word Coach — that recognise-then-produce loop is what makes vocabulary available under exam pressure.