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AI refers to a set of technologies that allow machines to perform tasks that would normally require human intelligence, such as learning, problem-solving, and decision-making. The goal of AI is to create intelligent machines that can mimic human cognitive abilities and perform tasks more efficiently than humans. Artificial intelligence is not a single dimension , but richly structured space of diveres information- processing capacities. Accordingly, AI uses many different techniques ,addressing many different tasks. AI’s practical applications are found in the home, the car, the office, the bank, the hospital ,the sky and the internet including the internet of things. Some lie outside our planet : robots sent to the Moon and Mars, or satellites orbiting in space . Hollywood animation, video and computer games, sat-nav systems and google's search engine are all based on A I techniques. It is already the main driver of emerging technologies like big data, robotic and IoT - not to mention generative AI, with tools like chat GPT and AI art generators.

We are in a wonderful age of discovery aboutissues concerning AI. A number of impressivn this article, we have set outto create a common understanding of AI research. As much as it is the goal to declareabout the purpose of writing this paper, it is important for us to declare about whatThe purpose is not.According  to the World Economic Forum news, AI will displace 85 million jobs by 2025. Though this may appear to be a frightening statistic, it should not be a cause of alarm since AI will produce 97 million additional employment opportunities by 2025. The upcoming era of digitalization the need of artificial Intelligence application with Machine learning can cause A crucial role to make world a more easy for doing the Things. In twenty years, nearly all data will become digitized, making it possible to use AI for decision-making and optimization. AI and automation will replace most blue-collar work and “make” products for minimal marginal cost. Robots and AI will take over the manufacturing, delivery, design and marketing of most goods.As Dharmesh Shah, Co-Founder and CTO at HubSpot comments, generative AI is going to be ‘explosive’ across the coming years, with the company launching its ChatSpot.ai solution.

“It’s unlikely that ChapGPT and other large language models are going to replace traditional search anytime soon, but there are a set of use cases where people would rather have a conversation to arrive at the answers they’re looking for, instead of typing keywords into a text box.Artificial intelligence (AI) could replace the equivalent of 300 million full-time jobs, a report by investment bank Goldman Sachs saysAdding toThis, to be able to evaluate the value of AI applications, it isAlso important to have appropriate indicators of the value theyDeliver, as well as associate their use with the ability to attain a Competitive advantage (Dwivedi et al., 2021). Artificial intelligence, a major invention that imitates human cognitive capabilities, has captured the attention of scientists all around the world [5]. The core component of artificial intelligence technology is a neural network that is designed like that of human brains, which can also simulate human thought.

We collected the evidence by surveying previous literature reviews of AI-based tools (e.g., Al-Subsidy et al., 2017. AI-based tools for steps of the review process. Harrison et al., 2020; Jonnalagadda et al., 2015; Kohl et al., 2018; Marshall and Wallace, 2019; Tsafnat et al., 2014; Van Dinter et al., 2021) and online registries (i.e., www. Systematicreviewtools.com). This article covers the comprehensive survey based on artificial intelligence techniques to diagnose numerous diseases such as Alzheimer, cancer, diabetes, chronic heart disease, tuberculosis, stroke and cerebrovascular, hypertension, skin, and liver disease. We conducted an extensive survey including the used medical imaging dataset and their feature extraction and classification process for predictions. Artificial intelligence (AI) is a machine-based technology that uses algorithms to deliver predictions, diagnoses, suggestions, and evaluations. Recently, the educational community has recognized AI’s potential to facilitate learning in various contexts . Scientific and technical advances affect not only the evolution of teaching materials and methods but also education, educational models, and the kinds of educational systems and organizations. For now, we think that researchers should see ChatGPT as an aide, not a threat. It may particularly be an aide for groups of researchers who tend to lack the financial resources for traditional (human) research assistance: emerging economy researchers, graduate students and early career researchers. It’s just possible that ChatGPT (and similar programs) could help democratise the research process.

But researchers need to be aware of the ban on its use in the preparation of journal papers. It’s clear that there are drastically different views of this technology, so it will need to be used with care.One of the most frequently used buzzwords in technology today is artificial intelligence. We’re learning more and more about how computers can mimic human thought processes and even complete jobs that were once thought too complex for machines to complete, thanks to innovations like Siri and Alexa. 

The Evolution of AI

Machine learning, which is perhaps the most common type of AI, involves training machines to learn from data without being explicitly programmed to do so. Natural language processing, on the other hand, involves teaching machines to understand and interpret human language, while robotics seeks to create machines that can perform physical tasks. AI has two main aims. One is technological: using computers to get useful things done. The other is scientific: using AI concepts and models to help answer questions about human beings and other living things. Most AI workers focus on only one of these, but some consider both . Since then , AI has been used to help sequence RNA for vaccines and model human speech , technologies  that really on model-  and algorithm - based machine,  Whether the theory is true is another matter, and depends on evidence drawn from the science concerned. These include models of how the physical brain works, and – a different, but equally important, question – just what it is that the brain is doing: what computational questions it is answering, and what sorts of information processing enable it to do that. 

Pros of AI

1.     Increased Efficiency and Productivity: AI has the potential to significantly increase efficiency and productivity in various industries by automating routine tasks

and enabling machines to learn and optimize processes. For example, in the healthcare industry, AI can be used to analyze patient data, diagnose medical

conditions, and develop treatment plans more quickly and accurately than humans.

2.     Improved Decision-making: When designed and implemented correctly, AI can help humans make better decisions by providing them with more accurate and

relevant information. For example, in finance, AI can be used to analyze market data and financial trends, helping traders and investors make more informed

decisions.

3.     Better Customer Service: AI can be used to improve customer service by providing personalized recommendations and assistance, reducing wait times, and

improving response times. For example, many companies are using chatbots powered by AI to provide instant customer service and answer customer queries.

4.     Enhanced Safety and Security: AI can be used to improve safety and security in a variety of settings, such as transportation and surveillance. For example, self

driving cars powered by AI can help reduce accidents caused by human error, while facial recognition technology can help identify individuals who pose a security

threat.

Cons of AI

1.     Job loss: One of the biggest potential drawbacks of AI is its impact on employment. As machines become more capable of performing tasks that traditionally

required human labor, many jobs may become obsolete.

2.     Bias and discrimination: Because AI models are developed using historical data, they may have inherent bias and discrimination built into them. For example,

machine learning algorithms used by law enforcement to predict crime rates have been shown to be biased against certain racial and ethnic groups.

3.     Lack of transparency: AI models can be very complex, making it difficult for humans to understand how they arrive at their decisions. This lack of transparency

can be problematic, particularly in sensitive contexts like healthcare or finance.

4.     Security and privacy concerns: As with any technology that collects and analyzes vast amounts of data, there are concerns about the security and privacy of

information collected by AI systems. There is also the potential for malicious actors to use AI to carry out cyber attacks or other forms of online crime. Connected to

highly complex life science-based mechanisms. These three sectors are regularly referred to in France’s national AI strategy and in the AI strategies of others

advanced countries. If AI makes it possible to automate a part of conventional radiology for a specific field and clinical situations, this will reduce the radiologist’s

activity, despite the growth in needs due to the aging of the population and the pervasiveness of chronic diseases. Ultimately, the question may arise as to the need

for the intervention of the radiologist in the establishment of the diagnosis. It could also be carried out by a non-radiologist equipped with tools for interpreting medical

images. Such developments presuppose an adaptation of the current regulatory framework. his evolution towards interventional radiology has already been

recognized by the profession, according to the National Federation of Medical Radiologist and others as:-

1.     AI in Science and Research

2.     AI in Cyber security

3.     AI in Data Analysis

4.     AI in Transport

5.     AI in Home

6.     AI in Healthcare

7.     AI in Education

As organizations are transferring their data to IT networks and cloud, the threat of hackers is becoming more significance . AI come with several benefits like an increase in safety of the passengers, fewer accidents, lesser traffic congestion, lesser carbon emissions, and reduced financial expenses. 

1.     Playing a song

2.     Asking a question

3.     Buying something online

4.     Opening an app

There’s a medical sector is also using this technology for its advantages. This workshop is not only targeted at students but at teachers as well.

Real-life Examples of AI

1.     Healthcare: AI is being used in healthcare to improve patient outcomes and reduce costs. For example, Google’s Deep Mind has developed an AI system that

can diagnose eye disease more accurately than human doctors. In addition, IBM’s Watson Health platform is being used to help doctors diagnose and treat cancer.

2.     Finance: AI is also being used in finance to improve decision-making and risk management. For example, Citi Bank is using AI to analyze customer data and

make personalized investment recommendations, while BlackRock is using AI to analyze market data and optimize its investment strategies.

3.     Retail: AI is being used in retail to improve the customer experience and increase sales. For example, Amazon’s Alexa can help customers find and purchase

products using voice commands, while Walmart is using AI to optimize its supply chain and improve inventory management.

4.     Law enforcement: AI is being used in law enforcement for a variety of purposes, such as predicting crime rates and identifying suspects. For example, the

Chicago Police Department is using a predictive policing program to identify areas of the city that may experience high levels of crime.

Some sectors are as :

1.     AI in Transportation: Transportation is one industry that is certainly teed up to be drastically changed by AI. Selfdriving cars and AI travel planner is just a couple

of facets of how we get from point A to point B that will be influenced by AI.

2.     AI in Manufacturing: These industrial robots typically work alongside humans to perform a limited range of tasks like assembly and stacking, and predictive

analysis sensors keep equipment running smoothly. Manufacturing has been benefiting from AI for years.

3.     AI in Healthcare: It main seem unlikely,  but AI healthcare is already changing the way  humans interact with medical providers.

4.     AI in Education: AI in education will change the way humans of all ages learn. AI’s  use of machine learning, natural language processing and facial recognition

help digitize textbook,  detect plagiarism and gauge  the emotions of  students to help determine who's struggling or bored.

5.     AI in Media: Journalism is harnessing AI too, and will continue to benefit from it.

6.     AI in Customer Service: AI tools powering the form of chatbots and virtual assistant.

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