Do you believe that self-driving cars will become common in the near future? Why or why not? Support your answer with reasons and expamles from your own knowledge or experience.

In recent years,some
car
companies have started the production of
an
Correct article usage
apply
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autonomous
cars
Correct the article-noun agreement
car
show examples
which is becoming a global threat. Personally, I am of the opinion that robotic cars will be less common or completely extinct from the world in the nearest future.
This
essay will be discussing the reasons for my opinion with a relevant example.
Firstly
, a driverless
car
can become a source of road traffic accidents due to machine dilemmas.
For example
, in a situation whereby if the
car
turns right, it will hit a tree and hurt the passenger and if it turns left,it will hit a crossing pedestrian,
this
dilemma can lead to an accident.
Secondly
, the risk of being hacked, since it is a machine,the possibility of being hacked by criminals is high and it can cause machine errors or failure which might have been avoided if it is controlled by the user.
Thirdly
,job loss is another issue,
this
can affect those who depend on driving to make a living
such
as truck drivers,
taxi
Fix the agreement mistake
taxis
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and bus drivers because they might not be able to take care of their expenses.
Additionally
,the cost of getting a self-driving
car
is worth a fortune and
this
may discourage people from purchasing
such
a
car
.
For instance
, a normal
car
can cause 25,000 dollars but a robotic
car
can triple that amount since it produces more expensive and robotic products. In summary,
the
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autonomous
car
may have some positive effects but the disadvantages
is
Correct subject-verb agreement
are
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the main reasons why they might not be common in the future.
Submitted by enaughetheresa on

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Topic Vocabulary:
  • autonomous vehicles
  • artificial intelligence (AI)
  • machine learning
  • innovations
  • technological revolution
  • smart infrastructure
  • regulatory framework
  • safety protocols
  • mass adoption
  • user trust
  • green technology
  • carbon footprint
  • disruptive technology
  • labor displacement
  • economic efficiency
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