Advantages and Disadvantages of Artificial Intelligence
Artificial Intelligence is one of the emerging technologies which tries to simulate human reasoning in AI systems. invented the term John McCarthy Artificial Intelligence in the year 1950.
Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves.
Artificial Intelligence is the ability of a computer program to learn and think. Everything can be considered Artificial intelligence if it involves a program doing something that we would normally think would rely on the intelligence of a human. In this article, we will discuss the different advantages and disadvantages of Artificial Intelligence.
- Advantages of Artificial Intelligence
- Disadvantages of Artificial Intelligence
The advantages of Artificial intelligence applications are enormous and can revolutionize any professional sector. Let’s see some of them.
Advantages of Artificial Intelligence
1) Reduction in Human Error
The phrase “ “ was born because humans make mistakes from time to time. Computers, however, do not make these mistakes if they are programmed properly. With human errorArtificial 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 kinds of natural or man-made disasters.
Example: Have you heard about the Chernoby l 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 the early stages, as any human who 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 human intervention can be hazardous.
3) Available 24×7
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 off been to stay intact with their work-life and personal life. But using AI we can make machines work 24×7 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 in order 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 assistant 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 becomes 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 Voicebot 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 a Chess game in Windows. It is nearly impossible to beat the 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 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 are able to predict breast cancer in women at earlier stages using advanced AI-based technologies.
Disadvantages of Artificial Intelligence
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. Its 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 for 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 that 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.
SUMMARY:
These are some advantages and disadvantages of Artificial Intelligence. Every new invention or breakthrough will have both, but we as humans need to take care of that and use the positive sides of the invention to create a better world. Clearly, artificial intelligence has massive potential advantages. The key for humans will ensure the “ rise of the robots “ doesn’t get out of hand. Some people also say that Artificial intelligence can destroy human civilization if it goes into the wrong hands. But still, none of the AI application made at that scale that can destroy or enslave humanity.
With this, we have come to the end of our article on various advantages and disadvantages of Artificial Intelligence.
With this, we come to the end of this blog on Data Science vs Machine Learning. With this, we come to the end of this article. If you have any queries regarding this topic, please leave a comment below and we’ll get back to you. If you wish to check out more articles on the market’s most trending technologies like Python, DevOps, Ethical Hacking, then you can refer to Edureka’s official site.
Do look out for other articles in this series that will explain the various other aspects of Data Science.
2.Math And Statistics For Data Science
9.Introduction To Machine Learning
12.How To Create A Perfect Decision Tree?
13.Top 10 Myths Regarding Data Scientists Roles
14.Top 5 Machine Learning Algorithms
15.Data Analyst vs Data Engineer vs Data Scientist
16.Types Of Artificial Intelligence
17.R vs Python
18.Artificial Intelligence vs Machine Learning vs Deep Learning
20.Data Analyst Interview Questions And Answers
21.Data Science And Machine Learning Tools For Non-Programmers
22.Top 10 Machine Learning Frameworks
23.Statistics for Machine Learning
25.Breadth-First Search Algorithm
26.Linear Discriminant Analysis in R
27.Prerequisites for Machine Learning
28.Interactive WebApps using R Shiny
29.Top 10 Books for Machine Learning
Originally published at https://www.edureka.co on July 22, 2019.
