Collocations for Confident Communication
DISCOVER • INVESTIGATE • PRACTISE • REFLECT
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AI can process information quickly, but reliable decisions still depend on good data, human oversight and responsible use.
Use technology thoughtfully: check the evidence, protect personal data, and keep people involved in important decisions.
Explore the readingLexiLink · Artificial Intelligence and Digital Technology B280 minutes
Complete the reading and listening tasks, investigate AI and digital technology collocations in SkELL, and submit your answers and short argument about responsible AI use.
Teacher-facing timing plan; the tasks below follow this sequence.
By the end of this lesson, you will be able to interpret and use collocations about AI, data quality, privacy and digital safety; distinguish conventional English word partnerships from direct-translation errors; test hypotheses with SkELL evidence; and communicate a balanced view of responsible AI use.
Study the whole word partnership, its meaning and close alternatives. Some expressions are easy to translate word for word but require a different English collocation.
Read the text carefully or listen to it. Target collocations are shown in bold.
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Artificial intelligence (AI) is already part of everyday digital life. Recommendation systems suggest music and films, navigation tools estimate travel times, and chatbots generate answers to questions. Many systems use algorithms to process large datasets, detect patterns and generate predictions. A developer may train an AI model on examples so that it can recognise images, classify messages or produce content. These tools can enhance productivity, but their results are not automatically accurate or fair.
One challenge is the quality of the data used to train a system. If the examples leave out certain groups or repeat old stereotypes, the system may reproduce that bias. Biased training data can affect decisions about recruitment, lending or access to services. For this reason, developers need to identify a bias, test the system with varied examples and keep human oversight where decisions may affect people’s lives. A polished answer or a confident-looking prediction is not proof that the result is correct.
Users also need to verify a claim and cross-check information before sharing AI-generated content. It is sensible to consult a reliable source, especially when information concerns health, money, law or public events. AI tools can spread misinformation if users repost fabricated content without checking it. Deepfake images and audio may look convincing, so people should ask where an item came from and whether independent evidence supports it. A well-informed user does not assume that every result produced by technology is trustworthy.
Privacy and cybersecurity are equally important. Apps and websites may collect details about location, searches and online behaviour, adding to a person’s digital footprint. Organisations should protect personal data, store data securely and explain how information will be used. If private records are exposed, the incident may become a data breach and compromise privacy. Users can take practical steps: install software updates, use strong passwords and think carefully before granting access to personal information.
Responsible technology requires more than technical performance. Companies should ensure transparency, comply with regulations and implement safeguards that reduce foreseeable harm. A user-friendly interface helps people understand what a tool can and cannot do, while clear explanations make it easier to question an unexpected result. When a system raises concerns or poses a risk, organisations should investigate rather than dismiss the problem. People can benefit from AI while still making an informed decision about when to use it and when to seek human expertise. The aim is not to trust every tool or reject every innovation, but to use digital technology critically, safely and responsibly.
Choose True or False according to the text.
Choose the paragraph number (1–5). Some paragraph numbers may be used more than once.
Open SkELL. Search each AI, data, algorithm or privacy keyword in Word Sketch, inspect concordance examples and open Similar words. For each keyword, record two collocations, write an original sentence for each, add two candidate synonyms or related words, and note a short example or context that you checked. Similar words are not automatically interchangeable: test whether a proposed alternative preserves the meaning and fits the sentence. Your notes will be included in the lesson submission.
Teacher scoring: up to 10 points for accurate and varied collocations, original contextual sentences, relevant related words and evidence-based revision of a language hypothesis.
The structured fields are included in the lesson submission and appear as individual records in the teacher's spreadsheet.
Match each beginning with the ending that completes a conventional English collocation. Several options are semantically close, so attend to the word partnership rather than translating each word separately.
Choose the collocation that best fits the whole situation. The options are intentionally close in meaning; use context and conventional word partnerships to decide.
Choose the verb that completes each collocation naturally. The verbs may be translated similarly in other languages, but they are not interchangeable in English.
Select the most precise collocation for each scenario. Use the meaning of the full sentence to distinguish related expressions.
Word bank: detect patterns · cross-check information · raise concerns · consult a reliable source · human oversight · implement safeguards · digital footprint · ensure transparency · protect personal data · pose a risk
Choose the one phrase that is not a natural English collocation. The other three may all be possible in other contexts; focus on the exact wording and meaning in this lesson.
Choose the best correction for a sentence containing an unnatural word partnership or a direct-translation error. The corrected sentence must fit the intended meaning.
Each sentence contains a collocation choice influenced by direct translation. Select the natural English version without changing the intended meaning.
Choose the best collocation for each realistic AI and digital technology scenario. The final items require you to distinguish close meanings, not just identify a familiar phrase.
Write at least 100 words on Responsible Use of Artificial Intelligence and Digital Technology. Use at least eight target collocations, including two that express a risk or a safeguard. Present a clear argument and one concrete example. Write directly in the box; paste and drag-and-drop are disabled in this field.
Please compose your paragraph here rather than pasting a prepared text. Normal paste, cut/copy shortcuts and drag-and-drop are blocked in this writing field. This browser restriction supports the task rules but is not a complete plagiarism-detection system.
0 words — 100-word minimum to submit; no maximum
Teacher awards up to 5 points for accurate use of distinct target collocations, a balanced argument and relevant examples about responsible AI use.
Your name and group, SkELL collocations and original sentences, related words, corpus notes, writing paragraph and available exercise scores will be collected in the teacher’s spreadsheet.
Auto-scored sections: reading multiple choice, True/False, paragraph matching, Matching, Complete the Sentence, Find the Collocate, Collocation Sorting, Lexical Cloze, Odd One Out, Collocation Repair, Interference Challenge and Contextual Precision (120 points total). SkELL investigation (10) and productive writing (5) are teacher-scored. Maximum lesson total: 135 points.
Vocabulary bank, reading and interactive exercises developed for Lesson 19: Artificial Intelligence and Digital Technology.
LexiLink · Connect words. Build fluency. Lesson submissions are sent to the configured Google Apps Script collector. The teacher must verify the saved row in Google Sheets because the browser cannot read confirmation in no-cors mode.