Artificial intelligence (AI) is a branch of computer science dealing with the simulation of the intelligent behavior of machines. It's about building intelligent machines capable of performing tasks that generally require the intelligence possessed by humans. AI allows machines to learn from experience, adapt to new inputs, and perform human-like tasks. Most examples of AI, such as chess-playing computers or driverless cars, rely heavily on machine learning, deep learning, and natural language processing (NLP). Using these technologies, computers are trained to perform specific tasks by processing large amounts of data and recognizing patterns in the data. The term artificial intelligence was coined in 1956. Early research on AI in the 1950s explored topics such as problem solving. In the 1960s, the US Department of Defense became interested in AI and began training computers to imitate basic human reasoning. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”? Get the original essay AI has become more popular today due to advanced algorithms and improvements in computing power, storage and the availability of large volumes of data to train and test. AI algorithms. AI technologies offer unlimited opportunities and we must capitalize on advances in AI. At the Royal Institute of Management (RIM) graduation ceremony, His Majesty the Fifth King of Bhutan spoke about the use of emerging technological advancements such as digital ID, artificial intelligence, blockchain, 'Internet of Things, Big Data, Quantum. Computer science, machine learning, virtual reality and augmented reality, etc. which provide unlimited opportunities to the Bhutanese. Her Majesty said: “Being a small nation makes us a smart nation, not by choice but by necessity. Technology is an indispensable tool that will be necessary to realize this aspiration. » Technological advancements have produced impressive advances in image recognition, pattern analysis, and autonomous machines that have many applications in our daily lives. AI is advancing rapidly. The problem is that people extrapolate many unrealistic expectations from these early AI successes, without recognizing the many constraints surrounding their achievement. Human intelligence has existed since the dawn of humanity and is further refined by millions of years of evolution. AI is only 70 years old. Artificial intelligence is still pretty stupid, most of the time. So saying that AI is equal to human experts is an important statement to make. It is far too early for humanity to throw in the towel. Today, people are being misled by AI because of a phenomenon known as the Eliza effect. Eliza is one of the first NLP computer programs created in 1966 at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum. Eliza responded to people's typed statements like a Rogerian psychotherapist. The computer was executing very simple programming logic. But people who interacted with him attributed emotional intelligence and empathy to all of Eliza's responses. The same phenomenon is happening today in our reactions to the successes of AI. People overestimate the achievements of AI and underestimate thehuman performance because we don't take a second to think about everything humans already know. People should not be fooled by the initial success of AI and believe the words of prominent AI figures who have no faith in humanity and God. There is already a lot of hype in the computing world that one day AI will take over humanity. An AI takeover is a hypothetical scenario in which AI becomes the dominant form of intelligence on Earth, with computers or robots effectively taking over the planet to the detriment of the human species. Some popular public figures, such as Stephen Hawking and Elon Musk, have recommended research into precautionary measures to ensure that future superintelligent machines remain under the control of a human. No matter how powerful the AI ​​system is, they are better than humans at only one thing: matching known patterns. They can only match the patterns they have learned, and they have limited ability to learn more than a few patterns. Humans are optimized to learn unlimited patterns and then select the patterns we need to apply to deal with whatever situation we find ourselves in. It is a skill that man possesses. For example, Booking.com, a travel e-commerce company with 198 offices in 70 countries around the world, used machine learning to tag images autonomously. Tech giants like Google, Amazon, and Microsoft Azure already offer generic image markup services. But the problem Booking.com had was that these services didn't mark up images in a way that was useful in the context of Booking.com. They can identify attributes like "ocean", "nature", "apartment", but Booking.com needs to know if there is a sea view, is there a balcony and does it have of a sitting area, is there a bed in the room. , how big it is, and so on. Back-end developers had to train machines to work with a more detailed set of tags that matched their specific context. If the task had been given to a human image tagging expert, he would have perfectly tagged the images as per the requirements. No matter how superintelligent AI products are, taking over humanity is a distant dream for a soulless AI machine. The core of AI, like machine learning and deep learning algorithms, made up of thousands of lines of code, is a byproduct of the intelligence of the human designer. Unlike a human, AI systems have limited capacity and can do and excel in what they are programmed to do and in their domain. Nothing more, nothing less. Humans, on the other hand, can do unlimited things. In the article titled “A Comparison of Deep Learning Performance with Healthcare Professionals in Detecting Disease from Medical Imaging: A Systematic Review and Meta-Analysis,” the authors suggest that AI is capable of interpreting medical images using a deep learning algorithm and an equal human expert in medical diagnosis. AI may be able to perform better than a human expert in certain fields such as medical and scientific research, to assert that AI is equal to humans, which amounts to saying that humans are outsmarted by AI. AI, a comprehensive real-world test in each area is necessary as suggested by Dr Raj Jena, oncologist at Addenbrooke's Hospital, Cambridge. As a machine, AI will be able to do things effectively and efficiently if it..