We are becoming increasingly dependent on computers. They are used in business, hospitals, crime detection and even fly planes. What things will they be used in the future? In this dependence on computers a good thing or should be more suspicious of their benefits?

In the technological era that we are living, computers are used for several purposes
such
as business,
healthy
Suggestion
health
records, police records and maps.
This
reality has made a life more easy,
nevertheless
in my view I think we are becoming addicted to
this
electronic device, which is even more important than the human work. If we start to depend totally from computers, perhaps our privacy will not exist, due to nowadays is very easy to get information about one person, for the reason that almost personal data are in a cloud. Actually, there are a lot of hackers who are very smart with the stole of information. So, in my
opinion thanks
Accept comma addition
opinion, thanks
to computers today there is not privacy.
On the other hand
, I think that computers could make that a lot of people lose their jobs, since for the companies will be more cheaper have
this
electronic device than workers.
For instance
, every time in a newspaper
,
Accept space
,
it’s necessary have less journalists, because a computer can write itself a news. To conclude, I believe that we cannot stop the dependent on computers. In fact, almost every day we can see a new innovation in
this
area, the big companies as a Microsoft and Apple are competing for who is the better in
this
campus. Actually, today a cell phone can be considered a computer too, thanks the born of
iPhone
Suggestion
the iPhone
.
However
, to give a solution in
this
topic, I think that the should exist more education about the care of data.
Submitted by rominahuaiquil on

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Topic Vocabulary:
  • Autonomous vehicles
  • Smart traffic management
  • AI (Artificial Intelligence)
  • Machine learning
  • Personalized treatment
  • Virtual classrooms
  • AI tutors
  • Smart homes
  • Energy consumption
  • Grocery shopping automation
  • Data analysis
  • Decision-making assistance
  • Efficiency
  • Mainstream adoption
  • Predictive algorithms
  • Personalization
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