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Impact of Artificial Intelligence in workplace
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John Markoff the author of “Computer wins on ‘Jeopardy!’: Trivial, It’s Not” discusses how Watson, an I.B.M computer the size of a room, takes down two former Jeopardy champions. Watson is leading the way for future development when it comes to artificial intelligence (AI) helping the workforce. Markoff discusses how this affects the future of AI as we know it, but he is also quick to point out that there are still flaws. Watson was developed by I.B.M. to specifically answer questions. Over a three day period Watson took on two former champions, one being Mr. Jennings known for winning 74 straight days and Mr. Rutter who is the all-time money winning champion on Jeopardy. This was not a stunt put on by I.B.M., they specifically wanted to show
Smarter than You Think starts out with a cautionary tale of how in 1997 world chess champion Garry Kasparov was beaten by Deep Blue, an I.B.M. supercomputer. This was a considered a milestone in artificial intelligence. If a computer could easily defeat a chess champion, what would happen to the game and its players? A year after Kasparov was defeated by the program he decided to see what would happen when a computer and person were paired up. He called this collaboration the centaur; A hybrid consisting of the algorithms and history logs of chess as well as the brain to “analyze their opponents’ strengths and weaknesses, as well as their moods.” ...
This paper is briefing of book called “Race against the Machine” written by Erik Brynjolfsson and Andrew McAfee. This paper focuses on the impact of technology on the current employment issues. Three explanations of current economic issues that is cyclical, stagnantion and “end of work” is provided (Brynjolfsson & McAfee, 2011). Then the idea of excessive progress in technology making man jobless is presented and to support it various arguments are put forward. Secondly the idea of technology development causing division of labor into high skilled, low skilled, capital, labor, superstars and ordinary labors is presented and explained in detail. Finally remedies for solving these issues are presented and explained. Major takeaways of this paper are mismatch between the productivity and job creation, interlink between Technology improvement and division of labor and importance of education in building stable skilled labors and in the developing a stable society. (Brynjolfsson & McAfee, 2011)
The Computron, Inc. is facing problems regarding pricing the bid for Computron 1000X, future functioning of Frankfurt plant, impact on production due to current market breakdown.
This world of artificial intelligence has the power to produce many questions and theories because we don’t understand something that isn’t possible. “How smart’s an AI, Case? Depends. Some aren’t much smarter than dogs. Pets. Cost a fortune anyway. The real smart ones are as smart as the Turing heat is willing to let ‘em get.” (Page 95) This shows that an artificial intelligence can be programmed to only do certain ...
At some point in our lives, we have wondered about the possibility of a computer being able to think. John Searle addresses this issue in his paper, “Can Computers Think?”, where he argues that computers cannot think because they are directed by formal information. This means that the information presented is only syntax with no semantics behind it. In this paper, I will elaborate more on Searle’s position and reasoning whilst critiquing his argument by saying that it is possible to derive semantics from syntax. Finally, I will analyze the significance of my criticism and present a possible response from Searle to defend his argument.
The conditions of the present scenario are as follows: a machine, Siri*, capable of passing the Turing test, is being insulted by a 10 year old boy, whose mother is questioning the appropriateness of punishing him for his behavior. We cannot answer the mother's question without speculating as to what A.M. Turing and John Searle, two 20th century philosophers whose views on artificial intelligence are starkly contrasting, would say about this predicament. Furthermore, we must provide fair and balanced consideration for both theorists’ viewpoints because, ultimately, neither side can be “correct” in this scenario. But before we compare hypothetical opinions, we must establish operant definitions for all parties involved. The characters in this scenario are the mother, referred to as Amy; the 10 year old boy, referred to as the Son; Turing and Searle; and Siri*, a machine that will be referred to as an “it,” to avoid an unintentional bias in favor of or against personhood. Now, to formulate plausible opinions that could emerge from Turing and Searle, we simply need to remember what tenants found their respective schools of thought and apply them logically to the given conditions of this scenario.
People have been in awe of computers since they were first invented. At first scientist said that computers would only be for government usage only. “Then when the scientists saw the potential computers had, scientist then predicted that by 1990 computers may one day invade the home of just about ever citizen in the world” (“History” Internet), the scientists were slightly wrong, because by 1990 computers were just beginning to catch on. Then a few years later when scientists when to major corporations to get help with a special project, the corporations said no, because computers would just be a fad and they wouldn’t make much money off of it. “By definition Abacus is the first computer (the proper definition of a computer is one who or that which computes) ever invented” (Internet).
- Why Watson is so important to the way the story works as an example
Alan Mathison Turing, a computer analyst, mathematician and cryptoanalyst, provided a simple solution to this problem. In a paper published in the Journal Mind, in 1950, Turing suggests that rather than creating complications by using the word “think”, defining it, or asking whether machines can “think”, it is easier to develop a task that requires thinking, and testing whether a machine can succeed in that task. In Turing’s own words, “Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words” (Turing, 1950, p. 433). These “unambiguous words” were in fact the “imitation game”, now known as “Turing’s Test”. This test suggested by Turing has been used ever since to test artificial intelligence. In spite of the technological advancements since the Turing test was first published, no machine has yet passed the test. Turing’s paper has been a frontrunner in all publications and researc...
The topics in the book, “Deep Blue: An Artificial Intelligence Milestone” by Monty Newborn and Monroe Newborn published in the year 2003 by Springer publication, features a comprehensive record of Deep Blue's Development. It gives us insight into the ups and downs of the deep Blue team on its way to finally defeating Gary Kasparov. It also includes appendices that completely record Deep Blue's matches. This book, a technological milestone, is not just a triumph, but a rare, pivotal watershed. The book offers a detailed account of IBM's Deep Blue chess program, the people who created it, and its historic battles with World Chess Champion Garry Kasparov. It establishes the point in history when mankind's exciting new tool, the computer, came of age and competed with its human creators in the ultimate intellectua...
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.
Since the inception of the field of Artificial Intelligence (AI), game playing has had a key role. Likewise, AI has been an integral part of modern computer games. This collaboration of academic and commercial research and development into AI has yielded vast amounts of crossover technology. Academic research problems have become or influenced commercial games and the money gained from the commercial applications of AI have helped advance academic research as well. Highly publicized man-machine tournaments, such as between Gary Kasparov and IBM's Deep Blue have served to showcase the current state of the art in Artificial Intelligence agents. The technology from these game players is finding its way into many other software fields, such as medical databases.
In 500 B.C. the abacus was first used by the Babylonians as an aid to simple arithmetic. In 1623 Wihelm Schickard (1592 - 1635) invented a "Calculating Clock". This mechanical machine could add and subtract up to 6 digit numbers, and warned of an overflow by ringing a bell. J. H. Mueller comes up with the idea of the "difference engine", in 1786. This calculator could tabulate values of a polynomial. Muellers attempt to raise funds fails and the project was forgotten. Scheutz and his son Edward produced a 3rd order difference engine with a printer in 1843 and their government agreed to fund their next project.
...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).
Thousands of years ago calculations were done using people’s fingers and pebbles that were found just lying around. Technology has transformed so much that today the most complicated computations are done within seconds. Human dependency on computers is increasing everyday. Just think how hard it would be to live a week without a computer. We owe the advancements of computers and other such electronic devices to the intelligence of men of the past.