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Writing Samples
Band 7.5

Nowadays, artificial intelligence is being used to drive cars. Why is this happening? Is it a positive or negative development?

The advent of artificial intelligence has marked the beginning of an era of transformation across various industries, especially technology and, not least, transportation.
This
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 trend is explained by the necessity to promote safety and convenience.
However
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, I maintain a middle stance and will mention both the strengths and weaknesses of using AI in the automobile industry. There is no denying that modern technological progress is focused mainly on making everyday life more comfortable and less stressful. Take,
for example
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, the self-parking feature in many of today’s cars—it saves time and effort
,
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apply
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 and would have seemed almost futuristic just a few decades ago. Another primary reason for integrating AI into vehicles is to minimise human error, which remains a leading cause of road accidents. Driver fatigue and distractions are well-documented contributing factors.
Moreover
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, on a broader level, AI can ease traffic congestion by selecting the most efficient routes, thereby reducing CO₂ emissions and helping address environmental issues. Despite the many advantages of AI-powered vehicles, one of the most pressing drawbacks is liability. If a self-driving car is involved in an accident, who should be held accountable—the software developer or the car’s owner? On top of that, with growing apprehension that robots are replacing human employees, many are worried that applying artificial intelligence may result in job losses. The shift could even worsen socioeconomic inequality since,
for instance
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, taxi drivers may struggle to find new employment.
Therefore
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, it would be fair to manage technological progress and social well-being holistically and ethically.
Thus
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, I would take the introduction of artificial intelligence into vehicle management with a grain of salt. What we have to think about is how to maximise its positive aspects, but mitigate the negative ones.
Then
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 it will be more positive.

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task achievement
Expand on some points with additional details or examples to strengthen your arguments, ensuring each main point is thoroughly supported.
coherence and cohesion
Consider improving the transitions between certain ideas for enhanced flow and coherence, making your argument even clearer.
task achievement
The essay presents a balanced view by discussing both the advantages and disadvantages of AI in the automobile industry, which demonstrates critical thinking.
coherence and cohesion
The introduction and conclusion are well-structured, clearly outlining your position and summarizing the main points effectively.

Include an introduction and conclusion

A conclusion is essential for IELTS writing task 2. It is more important than most people realise. You will be penalised for missing a conclusion in your IELTS essay.

The easiest paragraph to write in an essay is the conclusion paragraph. This is because the paragraph mostly contains information that has already been presented in the essay – it is just the repetition of some information written in the introduction paragraph and supporting paragraphs.

The conclusion paragraph only has 3 sentences:

  • Summary
  • Restatement of thesis
  • Prediction or recommendation

Example:

To summarize, a robotic teacher does not have the necessary disciple to properly give instructions to students and actually works to retard the ability of a student to comprehend new lessons. Therefore, it is clear that the idea of running a classroom completely by a machine cannot be supported. After thorough analysis on this subject, it is predicted that the adverse effects of the debate over technology-driven teaching will always be greater than the positive effects, and because of this, classroom teachers will never be substituted for technology.

Start your conclusion with a linking phrase. Here are some examples:

  • In conclusion
  • To conclude
  • To summarize
  • Finally
  • In a nutshell
  • In general

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Topic Vocabulary:
  • Artificial Intelligence (AI)
  • autonomous vehicles
  • traffic management
  • route optimization
  • human error
  • technological advancements
  • innovation
  • convenience
  • elderly
  • disabled individuals
  • job displacement
  • logistics
  • transportation
  • implementation
  • maintenance
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