In the essay "Toward An Intelligence Beyond Man’s" by Robert Jastrow, the author showed his view on computer intelligence and predicted that computer intelligence will be a new kind of evolution. Jastrow stateed that computer nowadays is as intelligent as human brain; they can communicate with human, learn from experience, and raise logical questions. The more complex the computer, the better they imitate human. He predicted that computer will as important as life in future years. Then, Jastrow used the example of Arthur Samuel and IBM computer to show computers can learn faster through motivation, even they do not have emotions and drives as human do. He also points out that computer and human brain share some characteristics; they both freeze out when handle too many tasks, and they outclass fast decisions under a crisis. Jastrow said even human still have the control power, computers learn much faster than humans’ intelligence. Then, in an ultimate situation, computers and human w ill become partners; they completely depends on each other to survive. However, Jastrow thought this partnership will not stay long; as computer will become more and more clever , but human evolution of intelligence is almost finished. He suggested that computer will be the new kind of intelligence which surpass human, as a new evolution of life. He said the history had proved it takes a million year for human evolution. It took less time , compare to a billion years of evolution from worm to human. By the incredibly fast rate of technology improvement, Jastrow thought computer will evolve in a much shorter period of time.
In the essay "The AI Revolution Is On" by Steven Levy, the author stated how new vision of computer intelligence are differ ...
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... in 21th century, and it might already dominate humans’ life. Jastrow predicted computer will be part of human society in the future, and Levy’s real life examples matched Jastrow’s prediction. The computer intelligence that Jastrow mentioned was about imitated human brain and reasoning mechanism. However, according to Levy, computer intelligence nowadays is about developing AI’s own reasoning pattern and handling complicated task from data sets and algorithms, which is nothing like human. From Levy’s view on today’s version of AI technology, Jastrow’s prediction about AI evolution is not going to happen. As computer intelligence does not aim to recreate a human brain, the whole idea of computer substitutes human does not exist. Also, Levy said it is irrelevant to fear AI may control human, as people in today’s society cannot live without computer intelligence.
To sum up his article, Carr mentions the scientist at Google who is trying to make an artificial intelligence for us to use our brains. He wants us to feel scared and be frightened because with an artificial intelligence in us we will be more like computers. Not being able to think on our own, but instead our brains will be running like a
Since antiquity the human mind has been intrigued by artificial intelligence hence, such rapid growth of computer science has raised many issues concerning the isolation of the human mind.
Nick Bilton starts “Artificial Intelligence as a Threat” with a comparison of Ebola, Bird flu, SARS, and artificial intelligence. Noted by Bilton, humans can stop Ebola, bird flu, and SARS. However, artificial intelligence, if it ever exceeds human intelligence, would not be stoppable by humans. Bilton, in his article, argues that AI is the biggest threat to humans at our current time, more serious than Ebola and other diseases. Bilton references many books and articles which provide examples of threats of AI.
One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the imitation game, since it is basically a game in which a computer imitates a conversating human. In an analysis of the Turing Test I will focus on its features, its historical background and the evaluation of its validity and importance.
The official foundations for "artificial intelligence" were set forth by A. M. Turing, in his 1950 paper "Computing Machinery and Intelligence" wherein he also coined the term and made predictions about the field. He claimed that by 1960, a computer would be able to formulate and prove complex mathematical theorems, write music and poetry, become world chess champion, and pass his test of artificial intelligences. In his test, a computer is required to carry on a compelling conversation with humans, fooling them into believing they are speaking with another human. All of his predictions require a computer to think and reason in the same manner as a human. Despite 50 years of effort, only the chess championship has come true. By refocusing artificial intelligence research to a more humanlike, cognitive model, the field will create machines that are truly intelligent, capable of meet Turing's goals. Currently, the only "intelligent" programs and computers are not really intelligent at all, but rather they are clever applications of different algorithms lacking expandability and versatility. The human intellect has only been used in limited ways in the artificial intelligence field, however it is the ideal model upon which to base research. Concentrating research on a more cognitive model will allow the artificial intelligence (AI) field to create more intelligent entities and ultimately, once appropriate hardware exists, a true AI.
To begin, the main issue of development of Artificial Intelligence is the economic factors. Firstly, one of the main negative effects of AI on economy is unemployment. According to the suggesting of Carl Benedikt Frey and Michael A. Osborne of Oxford University during next 20 years 47 per cent of all USA jobs under the threat and will be replaced with intelligence machines (Vincent). If jobs will be automated, people will lose their workplaces and it is becomes one of the harmful problems not only for economy, but also for society. Because, if people will not have a workplace, they will not be able to provide their needs. Furthermore, development of AI can be a reason of increasing inequality of wages. For instance, the salaries of computer workers approximately earn 10 to 15 percent more than others. (Frey and Osborne). It is also one of the economic problems because it can lead to discontent of workers who hav...
When most people think of artificial intelligence they might think of a scene from I, Robot or from 2001: A Space Odyssey. They might think of robots that highly resemble humans start a revolution against humanity and suddenly, because of man’s creation, man is no longer the pinnacle of earth’s hierarchy of creatures. For this reason, it might scare people when I say that we already utilize artificial intelligence in every day society. While it might not be robots fighting to win their freedom to live, or a defense system that decides humanity is the greatest threat to the world, artificial intelligence already plays a big role in how business is conducted today.
From the first imaginative thought to manipulate nature to the development of complex astronomical concepts of space exploration, man continues to this day to innovate and invent products or methods that improve and enhance humankind. Though it has taken 150 million years to reach the present day, the intellectual journey was not gradual in a linear sense. If one were to plot significant events occurring throughout human existence, Mankind’s ability to construct new ideas follows a logarithmic path, and is rapidly approaching an asymptote, or technological singularity. This singularity event has scientists both supporting and rejecting the concept of an imaginative plateau; the largest topic discussed is Artificial Intelligence (A.I.). When this technological singularity is reached, it is hypothesized that man’s greatest creation, an artificial sapient being, will supersede human brain capacity.
It has been commonly said that the computer can never replace the human brain, for it is humans that created them. Is this a good reason why the computer must be inferior to humans? Even if we just focus on a single creation of man, say the subject of this essay, the computer, there are many ways in which the computer has the edge over man. The computer has the capability to evaluate problems that man can hardly even imagine, let alone approach. Even if a man can calculate the same problems as a computer, the computer can do it faster than he can possibly accomplish. Say this man can calculate as fast as a computer, but can he achieve a 100% rate of accuracy in his calculation? Why do we now go over the human data entry into a computer when a mistake is noticed instead of checking the computer? It is because computers now possess the ability to hold no error in its operation, where mankind has not advanced in this area at all.
Artificial Intelligence is the scientific theory to advance the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. This is going to hold the key in the future. It has always fa...
Artificial intelligence is a concept that has been around for many years. The ancient Greeks had tales of robots, and the Chinese and Egyptian engineers made automations. However, the idea of actually trying to create a machine to perform useful reasoning could have begun with Ramon Llull in 1300 CE. After this came Gottfried Leibniz with his Calculus ratiocinator who extended the idea of the calculating machine. It was made to execute operations on ideas rather than numbers. The study of mathematical logic brought the world to Alan Turing’s theory of computation. In that, Alan stated that a machine, by changing between symbols such as “0” and “1” would be able to imitate any possible act of mathematical
...on, adaptation, and planning for the future. The computer is unable to win because it cannot think like a human, and that is why we humans are smarter than computers to this day (The Daily Galaxy 1-3).
Recently, the media has spent an increasing amount of broadcast time on new technology. The focus of high-tech media has been aimed at the flurry of advances concerning artificial intelligence (AI). What is artificial intelligence and what is the media talking about? Are these technologies beneficial to our society or potential threats? Medical facilities, police departments, and manufacturing plants have all been changed by AI. Will machine language and artificial neural network replace humans in the future?
Shyam Sankar, named by CNN as one of the world’s top ten leading speakers, says the key to AI evolvement is the improvement of human-computer symbiosis. Sankar believes humans should be more heavily relied upon in AI and technological evolvement. Sankar’s theory is just one of the many that will encompass the future innovations of AI. The next phase and future of AI is that scientists now want to utilize both human and machine strengths to create a super intelligent thing. From what history has taught us, the unimaginable is possible with determination. Just over fifty years ago, AI was implemented through robots completing a series of demands. Then it progressed to the point that AI can be integrated into society, seen through interactive interfaces like Google Maps or the Siri App. Today, humans have taught machines to effectively take on human jobs, and tasks that have created a more efficient world. The future of AI is up to the creativity and innovation of current society’s scientists, leaders, thinkers, professors, students and
In the past few decades we have seen how computers are becoming more and more advance, challenging the abilities of the human brain. We have seen computers doing complex assignments like launching of a rocket or analysis from outer space. But the human brain is responsible for, thought, feelings, creativity, and other qualities that make us humans. So the brain has to be more complex and more complete than any computer. Besides if the brain created the computer, the computer cannot be better than the brain. There are many differences between the human brain and the computer, for example, the capacity to learn new things. Even the most advance computer can never learn like a human does. While we might be able to install new information onto a computer it can never learn new material by itself. Also computers are limited to what they “learn”, depending on the memory left or space in the hard disk not like the human brain which is constantly learning everyday. Computers can neither make judgments on what they are “learning” or disagree with the new material. They must accept into their memory what it’s being programmed onto them. Besides everything that is found in a computer is based on what the human brain has acquired though experience.