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Artificial Intelligence (AI)

In computer science, artificial intelligence or AI, sometimes called artificial intelligence, is intelligence demonstrated by machines, as opposed to natural intelligence. of human. Typically, the term “artificial intelligence” is often used to describe master machines (or computers) capable of imitating “cognitive” functions that humans typically associate with the mind, like “learning” and “problem solving”.

As machines become increasingly capable, tasks considered to require “intelligence” are often dropped from the definition of AI, a phenomenon known as the AI effect. A maxim in Tesler’s Theorem states that “AI is whatever has not yet been done.” For example, optical character recognition, often excluded from what is considered AI, has become into a common technology. Modern machine capabilities commonly classified as AI include successfully understanding human speech, competing at the highest levels in strategy games (such as chess and Go), independently operating vehicles, intelligent routing in content delivery networks, and military simulation.

Artificial intelligence can be classified into three different types of systems: analytical, human-inspired, and artificial intelligence. Analytical AI has just the right characteristics for cognitive intelligence; create a cognitive representation of the world and use learning based on past experiences to inform future decisions. Human-inspired AI has elements from cognitive and emotional intelligence; understand human emotions, beyond cognitive factors, and consider them in decision making. Anthropomorphic AI shows characteristics of all types of abilities (i.e. cognitive, emotional, and social intelligence), is self-aware, and is self-aware in interactions.

Artificial intelligence was established as an academic discipline in 1956, and in the years that followed has experienced several waves of optimism, followed by disappointment and loss of funding (known as the ” AI winter “). ), followed by new approaches, successes, and new funding. For much of its history, AI research has been divided into subfields that often do not communicate with each other. These subfields are based on technical considerations, such as specific goals (e.g., “robotics” or “machine learning”), the use of specific tools (“logic” or networks). artificial neurology) or deep philosophical differences. Subdisciplines are also based on social factors (specific organizations or the work of specific researchers).

The field was founded on the claim that human intelligence “can be described so precisely that a machine can be built to simulate it”. This raises philosophical debates about the nature of the mind and the ethics of creating artificial beings with human-like intelligence, which are issues that have been discussed in mythology, fiction, and philosophy. mentioned since ancient times. Some also see AI as a danger to humanity if its progress remains unabated. Others believe that AI, unlike previous technological revolutions, will create the risk of mass unemployment.

In the 21st century, AI techniques have experienced a resurgence following concurrent advances in computing power, big data, and theoretical understanding; and AI engineering has become an essential part of the technology industry, helping to solve many challenging problems in machine learning, software engineering, and operations research.

AI and dangers to humanity.
After physicist Stephen Hawking and billionaire Elon Musk warned about the potential threat of artificial intelligence, many people still think they are worrying too much while AI is greatly helping our lives. ta. Stephen Hawking asserted, “Artificial intelligence could be the end of humanity when it develops to its fullest extent.”

The first impact of artificial intelligence that we can easily see is the increased unemployment rate. If AI is fully developed, it has the ability to replace humans in intellectual jobs such as health care, serving, automated production lines, office work… Or it can also be possible. The unemployment problem will be solved by AI in a way that we cannot imagine.

According to Bill Joy, co-founder and Chief Scientific Officer of Sun Microsystems: “There is a huge problem for human society when AI becomes popular, which is that we will be dependent. becoming more perfect and smarter, we will allow ourselves to listen to the decisions of machines, because machines simply always make more accurate decisions than humans.”

According to Andrew Maynard, a physicist and director of the Center for Scientific Risk Research at the University of Michigan: “When AI combined with nanotechnology could be a breakthrough in science, it could also be a breakthrough.” biggest threat to humans. While the US Department of Defense is researching the Autonomous Tactical Robot (EATR) project, in which robots will use nanotechnology to absorb energy from organic substances that can is the human body. That’s really the biggest threat, as nanobots generate their own energy by eating organic matter from plants and animals, possibly even humans. It sounds similar like in fantasy movies, but it’s completely possible. Maybe we should start being careful now.”.

Solutions to face challenges when using AI in the future
Facing the challenges of artificial intelligence, we need to create motivation and a foundation for technology to develop, but at the same time we must control the impacts that artificial intelligence causes.

To limit unemployment due to AI, workers in businesses need to improve their own value by cultivating professional knowledge, work skills and emotions at work that AI cannot can get. If we don’t “improve” ourselves, we will easily be eliminated by AI itself.

Besides, increasing data security to avoid security holes created by AI is also a big challenge. AI applications need to be operated in a transparent manner from collecting to using input data.

Positive and negative impacts on human life.
Negative impact
Difficult to master and control
Reality shows that capturing emotions with AI technology is impossible. AI is programmed by technicians with complex and difficult to understand algorithmic programs, so the gap between intelligence created from technology and human emotional intelligence is still very large. When consulting with customers, people still have to solve emotional problems.

Increase unemployment rate
AI technology is like a double-edged sword that both creates jobs and increases the unemployment rate of people. When AI technology is widely used, some industries such as machinery manufacturing, electronic equipment… are also gradually replaced.

When countries use AI technology for the wrong purposes, it will cause disasters like war and terrorism. Dangers from manufacturing drones, automatic missiles… or even in real life, will people use AI technology for illegal purposes such as having information stolen, hacking accounts… and dragging followed by unpredictable consequences.

Positive impact

Like other smart technology products, besides the applications of artificial intelligence, AI still has some negative aspects.

Increase productivity and labor efficiency
It can be seen that today, AI technology is increasingly developing, helping people optimize their workload and limit human labor.

Instead of people using labor to create products, we can now apply AI technology to create the desired product in larger quantities. At the same time, AI technology is also applied in manufacturing, healthcare and almost all fields.

New job opportunities
Many people will think that when AI technology is introduced, their job opportunities will be lost because machines can replace humans.

However, some future predictions have shown that AI development will create 2 million jobs for many people. Specifically, AI programmers, brokers, AI managers – intermediaries between artificial intelligence products and customers, controllers for AI.

Open up new potentials
Currently, AI smart technology is expected to create new things for humanity and aim for seemingly impossible dreams.

That’s why people create AI with the hope that it will make their dreams come true. Specifically, being able to explore and master the universe, create clean energy sources, discover new planets…

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