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

Artificial Intelligence (
AI
) has taken a significant role in self-driving cars.
This
is
due to
the fact that
AI
can reduce
car
accidents
caused by human errors.
This
breakthrough should be seen as a positive development as
AI
can enhance the safety of
the
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passengers. The
AI
, which is plugged into the self-driving cars can effectively decrease
car
accidents
caused by the
drivers
' errors.
Moreover
, it is said that
AI
can endure better responses than humans
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towards emergencies, as it allows the system to detect and handle various unpredicted conditions. It can produce a "beep" sound that makes the passengers aware when something is wrong or stops the
car
automatically to avoid a
car
crash.
For instance
, some busy areas in the US
such
as New York, L.A., and Washington DC have deployed self-driving
taxis
while
equipped with the
AI
technology
as described above. The data showed that there was only one
car
crash during the deployment of the
taxis
in a year, whilst previously there were 50
accidents
caused by manual
taxi
drivers
.
Furthermore
,
this
phenomenon should be seen as a positive development since
AI
can enhance the passenger's safety. Through the
technology
offered by the
AI
, it is proven that the
AI
can lower the number of
car
accidents
which leads to fewer casualties in a period. A recent report from local hospitals in those three cities above showed that there were fewer people admitted to the emergency room caused by road
accidents
in the same period as the self-driving
taxis
were deployed.
However
, there is
also
a drawback of having driverless
taxis
moving around the cities which is the increasing amount of driver unemployment.
While
those
taxis
do not require
drivers
, it will lead to fewer people getting jobs. From the point of view of the
taxi
operators, paying
drivers
will be more expensive compared to deploying
the
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AI
technology
into their
taxis
and
thus
, manual
drivers
will be replaced by machines.
For instance
, ABC
taxi
company is developing a self-driving
taxi
system which is estimated to be 300,000
taxis
and could end up with
drivers
who are supposed to work as
drivers
losing their jobs.
To conclude
, some cars have been equipped with
AI
which allows them to drive on their own without the driver’s control. Take
taxis
,
for example
.
While
deploying self-driving
taxis
could lead to massive unemployment, I believe there are more advantages towards it. The
AI
technology
provided in the
taxi
could lower the number of
car
accidents
caused by the driver’s errors and it should be regarded as
positive
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a positive
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improvement since it will
also
protect all living souls inside the
car
.
Submitted by nadillamntr on

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introduction conclusion present
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supported main points
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logical structure
Vary sentence structures and use cohesive devices to improve readability, but be cautious of overusing certain phrases or connectors.
complete response
Address the task's prompt thoroughly, including all parts of the question. Your essay could offer a more nuanced discussion on the positive and negative developments.
clear comprehensive ideas
Organize ideas clearly and logically, ensuring that each paragraph has a clear main idea and that the arguments progress naturally.
relevant specific examples
Include real-life examples or case studies to substantiate your arguments and make them more convincing.

Word Count

IELTS says that you should write a minimum of 250 words in writing task 2. If you go under word count you will lose marks in task response.

A very long essay will not give you a higher band score.

Aim for between 260 to 290 words in writing task 2. This will ensure a concise essay and will be realistic in terms of time management. You have only 40 minutes to write the essay and you need around 10 minutes of planning time, so you will not be able to write a long essay in 30 minutes.

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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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