Advantages and Disadvantages
Advantages and Disadvantages of Artificial Intelligence
Artificial Intelligence is one of the emerging technologies
which tries to simulate human reasoning in AI systems. John McCarthy invented the term Artificial Intelligence in the
year 1950.
Advantages
1) Reduction in Human Error:
The phrase “human error” was born because humans make mistakes from time to time. Computers, however, do not make these mistakes if they are programmed properly. With Artificial intelligence, the decisions are taken from the previously gathered information applying a certain set of algorithms. So errors are reduced and the chance of reaching accuracy with a greater degree of precision is a possibility.
Example: In Weather Forecasting using AI
they have reduced the majority of human error.
2)
Takes risks instead of Humans:
This is one of the biggest advantages of
Artificial intelligence. We can overcome many risky limitations of humans by
developing an AI
Robot which in turn can do the risky things for us. Let it be going
to mars, defuse a bomb, explore the deepest parts of oceans, mining for coal
and oil, it can be used effectively in any kind of natural or man-made
disasters.
Example: Have you heard about the Chernobyl nuclear power plant explosion in
Ukraine? At that time there were no AI-powered robots that can help us to
minimize the effect of radiation by controlling the fire in early stages, as
any human went close to the core was dead in a matter of minutes. They
eventually poured sand and boron from helicopters from a mere distance.
AI Robots can be used in such situations where
intervention can be hazardous.
3)
Available 24x7:
An Average human will work for 4–6 hours a day
excluding the breaks. Humans are built in such a way to get some time out for
refreshing themselves and get ready for a new day of work and they even have
weekly offed to stay intact with their work-life and personal life. But using
AI we can make machines work 24x7 without any breaks and they don’t even get
bored, unlike humans.
Example: Educational Institutes and
Helpline centers are getting many queries and issues which can be handled
effectively using AI.
4)
Helping in Repetitive Jobs:
In our day-to-day work, we will be performing
many repetitive works like sending a thanking mail, verifying certain documents
for errors and many more things. Using artificial intelligence we can
productively automate these mundane tasks and can even remove “boring” tasks for humans and free them up
to be increasingly creative.
Example: In banks, we often see many
verifications of documents to get a loan which is a repetitive task for the
owner of the bank. Using AI Cognitive Automation the owner can speed up the
process of verifying the documents by which both the customers and the owner
will be benefited.
5)
Digital Assistance:
Some of the highly advanced organizations use
digital assistants to interact with users which saves the need for human
resources. The digital assistants also used in many websites to provide things
that users want. We can chat with them about what we are looking for. Some
chatbots are designed in such a way that it’s become hard to determine that
we’re chatting with a chatbot or a human being.
Example: We all know that organizations
have a customer support team that needs to clarify the doubts and queries of
the customers. Using AI the organizations can set up a Voice bot or Chatbot
which can help customers with all their queries. We can see many organizations
already started using them on their websites and mobile applications.
6)
Faster Decisions:
Using AI alongside other technologies we can make
machines take decisions faster than a human and carry out actions quicker.
While taking a decision human will analyze many factors both emotionally and
practically but AI-powered machine works on what it is programmed and delivers
the results in a faster way.
Example: We all have played Chess games
in Windows. It is nearly impossible to beat CPU in the hard mode because of the
AI behind that game. It will take the best possible step in a very short time
according to the algorithms used behind it.
7)
Daily Applications:
Daily applications such as Apple’s Siri, Window’s Cortana, Google’s OK Google are frequently used in our
daily routine whether it is for searching a location, taking a selfie, making a
phone call, replying to a mail and many more.
Example: Around 20 years ago, when we are
planning to go somewhere we used to ask a person who already went there for the
directions. But now all we have to do is say “OK
Google where is Visakhapatnam”. It will show you Visakhapatnam’s
location on google map and the best path between you and Visakhapatnam.
8)
New Inventions:
AI is powering many inventions in almost every
domain which will help humans solve the majority of complex problems.
Example: Recently doctors can predict breast
cancer in the woman at earlier stages using advanced AI-based technologies.
Disadvantages
1)
High Costs of Creation:
As AI is updating every day the hardware and
software need to get updated with time to meet the latest requirements.
Machines need repairing and maintenance which need plenty of costs. It’ s
creation requires huge costs as they are very complex machines.
2)
Making Humans Lazy:
AI is making humans lazy with its applications
automating the majority of the work. Humans tend to get addicted to these inventions which
can cause a problem to future generations.
3)
Unemployment:
As AI is replacing the majority of the repetitive
tasks and other works with robots,human interference is becoming less which
will cause a major problem in the employment standards. Every organization is
looking to replace the minimum qualified individuals with AI robots which can
do similar work with more efficiency.
4)
No Emotions:
There is no doubt that machines are much better
when it comes to working efficiently but they cannot replace the human
connection that makes the team. Machines cannot develop a bond with humans
which is an essential attribute when comes to Team Management.
5)
Lacking Out of Box Thinking:
Machines can perform only those tasks which they
are designed or programmed to do, anything out of that they tend to crash or
give irrelevant outputs which could be a major backdrop.
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