Pros and Cons of Artificial Intelligence in Different Sectors | Do you like to Blog

Pros and Cons of Artificial Intelligence in Different Sectors 



What is AI? 

Artificial Intelligence is also referred to as AI. AI is a wide ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. 

There are Pros and Cons of AI. In this blog I had tried to sum up Pros and Cons of AI in Healthcare Sector, Education Sector, Manufacturing Sector. 


What are examples of AI?

Smart Assistants such as Siri, Alexa. 

Self Driving cars such as Tesla.

Web search engines such as Google.

Recommendation systems such as YouTube, Amazon. 

Email spam filters. 

Pros and Cons of Artificial Intelligence in Health Sector/Medicine

Pros/Advantages of AI in Healthcare


1 Provides Real Time Data

An important aspect in addressing medical issues is acquiring accurate data/information in each time period. With the help of AI Doctors and other professionals who are authorized to operate/treat the person can get the precise data. 

With real time analysis it can help the Doctor Patient relationships. With alerts doctors and other authorized staff can inform patients what their status and what can do in case of emergency. 

With the help of AI more data is collected than traditional. Which would be more helpful.


2 Streamlines Tasks

In this area appointment scheduling, tracking patient medical history, translating clinical details. 

AI is also helpful in reviewing insurance. It minimizes cost resulting claims before claim denials. 

Enabling faster payments and greater claims accuracy, hospitals can be more confident about reimbursement time frames, making them more willing to accept a larger number of insurance plans. AI essentially allows hospitals to accept a wide array of plans, benefiting potential and existing patients.


3 Time and Resources saving 

AI has the potential to save hefty costs. In any sector time equals money. AI helps medical professionals to have more time to treat and diagnose patients with respect to their illness by streamlining their task. 

Its estimated around $200 billion is wasted in the healthcare industry annually worldwide. Some part of this money’s responsibility is related to the administrative department for the tasks such as filing, reviewing, and resolving accounts. 


4 Assists Research 

AI enables researchers to go through past available data related to certain topics. AI enables the collection of much more information related to the body and allows for a much more effective way of analysis of deadly analysis. 

AI has also been helpful to assess and detect symptoms earlier in illnesses. 

Cons/Limitations of AI in Health Sector


1 Needs Human Surveillance

Although AI can do many things, human supervision/surveillance is still required. 

Many years of education is required for medical professionals to operate in their respective fields. Essential information gathered from the experts in the respective fields enriches the availability of data and improves the AI data set to provide more information to health care staff with trusted and valuable insights.


2 May Overlook Social Variables 

Social and Economical factors come into play in any sector An AI system may allocate a patient to a particular care centre based on the diagnosis done on their problem. But the AI system doesn’t look into the economical condition of the patient. 


3 May Lead to Unemployment 

Although AI may help in reducing costs, it may also trigger some jobs. This may raise problems for the professionals who invested their time and money in education for that particular job. 


4 Inaccuracies may be possible. 

AI depends heavily on the available data from the past. In some cases where there is no data or some data available on particular illnesses. A mild diagnosis is possible. This factor becomes especially important when prescribing medicines. 


5 Susceptible to Security Risks. 

AI is dependent on data networks. There is a possibility of security breach. A cyber attack would result in big challenges with the data. The data given on specific data may be turned into ineffective.  

Totally depending on AI would also turnout to be ineffective in some cases. AI can also be an emerging threat. 

Should AI be used in the Healthcare Sector?

AI has the potential to improve the health care system. Automating daily tasks such as scheduling appointments, Tracking patient status post surgery etc. would give more time to medical professionals ample time to interact with patients.Real time data can help and inform what are the measures to take. AI is being implemented to reduce administrative errors and save vital resources.   

AI still requires some human surveillance. Despite some of the challenges and limits AI faces, this technology promises to give extraordinary benefits to the medical sector. With AI we just need to look into the security of the system. Cyber attacks cause a major problem to the whole system. 

Pros and Cons of AI in Education System 

Pros of AI in Education


1 Organized Information

Education system now-a-days taking a turn towards digital transformation. Now-a-days it's rare for teachers and students to go to the library for any kind of materials except for some due to this pandemic. Web browser such as Google, Firefox, Microsoft Edge through them we can access anything we want within the tap of our fingers. For whatever the question the internet has answers for it. Some platforms can help students provide what they are looking for such as e-books, PDF versions of many books etc.


2 Personalized Learning 

There is a limit to teachers personally taking care of each and every student in the classroom. Instead of that with the help of AI collect the data on student's abilities with the permission of their Parents/ Guardian’s. And can optimally give suggestions based on their strength and weakness. 

3 Better for Students with Special Needs

AI will be helpful in improving the lives of the disabled students. AI will play a crucial role in offering better resources to the disabled. Speech recognition software's can help transcribe words for students with writing and hearing  difficulties.


4 Immersive Learning 

AI can bring a dynamic learning environment to the classroom. Virtual humans such as avatars and digital assistants can also extend this learning experience outside classrooms.

Cons of AI in Education 

1 Cost 

Although AI is very much helpful in the education sector, the cost is very much high and not only the price but also the cost of maintenance and updating. AI also requires more digital devices and due to that the amount of power needed will increase. And there are many more things which are related to sum up it as a costly factor. 


2 No Personal Connection

AI brings a dynamic learning system, it changes the whole education system. These AI programs may substitute teachers but will not replace them. A key part of schooling is based on the relationship between teacher and students and with non teaching staff. That’s how personal connections can mold students' behaviors.    


3 Unemployment

AI might be helpful but it may replace many school staff. From administration to teaching staff. AI has a solution for everything but may raise unemployment.  


4 Information in Wrong Hands

That’s how personal connections can mold students' behaviors. As use of AI increases day by day the data collected by AI could also be prone for cyber attacks. If the data goes into the  wrong hands then there is a risk of misuse of the personal information and many more things can happen. 

Pros and Cons of AI in Manufacturing Industry 

Pros of AI in Manufacturing Industry 


1 Predictive Analytics for Increased Production Output 

AI in the manufacturing industry makes a predictive analysis of the future. The manufacturing sectors have a larger volume of data to analyze with the help of AI. It is done precisely.


2 Better Generative Design Process 

Another advantage of AI manufacturing can create better ways of designing their products. With the AI prediction the manufactures can know which type of material fits better for the modal, Appropriate production methods, time and money. With AI predictions the designer can input all the possible constraints. The appropriate solution is given after many analyses for the best solution. It eliminates human error in designing.

 

3 Improved Process Quality 

AI technology enables a more innovative production process and helps in better product quality. AI also helps products meet the required quality standards. Manufacturers can achieve this by using the equipment that operates with AI technology. With the help of tracking sensors the manufacturer can track/monitor location where the required materials/goods are and what is their situation. With the help of automation of inventory improves process services and inventory turnover is likely to be increased.


4 Adaptability to Ever changing Market

Not only in production but there are other significant areas of manufacturing where AI plays a key role. Supply chain management, customer behavior, and changes in the market. AI can ensure that companies can predict possible market changes. With this the companies can stay upto date. 

AI algorithms can also predict the market demands and manufacturers can use that information for future.   

Cons of AI in the Manufacturing Industry


1 It is costly 

Although implementation of AI in the Manufacturing Sector boosts up but it is a costly thing to do. It is too pricey for small companies, startups. 


2 Scarcity of Experts and Skills Personals

Because AI technology is a continuously evolving field, experts and skilled personnel are required in it. Since AI is a complex programming, it must be required to have an expert before implementing any new program.

  

3 Open to Vulnerabilities 

An important problem with AI is it is open to cyber attacks. These types of cyber attacks can create problems for the manufacturers. The cyber attack can stop all the work that is done by the AI technology.


Conclusion

On a whole AI helps in making life better and easier but cost of it and security breaches in AI can cause problem. But Hopefully in coming future there will be a solution for this things.


 Thank you. 

Also Check my other blogs on different articles as well. 

There is also a website that which is very useful for mechanical engineering students and professionals as well.  Click Here


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