The term artificial intelligence (AI) denotes “a branch of computer science dealing with the simulation of intelligent behaviour in computers.” As the revolution of technology develops around us, we must question whether computers can ever be as intelligent as humans and whether the development of artificial intelligence will pose a risk to humans in the future. Exploring the different perspectives surrounding the use of AI and its dangers to humanity will help answer this question.
The first test proposed to prove the intelligence of a computer was the Turing test: three terminals were set up with two humans and one computer system. A person is designated the questioner and the others, respondents. Upon conversation for a fixed amount of time, the questioner declares which ‘person’ was the computer and which was the human. Alan Turing, who devised the Turing test, proposed in the book “Computing Machinery and Intelligence,” that a computer system would successfully fool the human questioner into believing that the computer respondent was a human answering the questions by the year 2000. He also stated that if the human interrogator, within 5 minutes of conversation, had only 70% chance of identifying that the respondent was human, then the machine was capable of thinking. Alan Turing, who proposed this test in 1950,
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Some of the positive use cases are in food production where systems powered by AI can monitor farm fields and keep track of weather conditions; data can then be used for automation purposes as well. This intelligence is much needed now more than ever as the human population is estimated to be around 10 billion in 2050; farmers will have to produce at least 50% more food than currently being provided without an increase in farmland. AI is therefore useful in food
Technology plays a significant role in every aspect of our lives. It is what separates modern society from an archaic past. It’s open-endedness and potential for great change make it nearly impossible to gain a complete understanding of its effects. Without this overarching understanding, many of us develop an improper indication of how powerful these advances could become. As a result, we fear what we don’t know and artificial intelligence is often Enemy Number One.
Kelly, and Jeaneé C. Miller. " The Who, What, and Why of Human Intelligence Gathering: Self-Reported Measures of Interrogation Methods." Applied Cognitive Psychology 28.6 (2014): 817-828. Academic Search Complete.
Supporters of computationalism and strong artificial intelligence claim that computers are capable of intelligence and other cognitive states if they are programed correctly. Therefore, computers can explain how human cognition performs. I contend that John Searle is correct in his claim that computers are incapable of understanding language and are, therefore, unable to explain human cognition. I begin the essay with Searle’s Chinese room argument, and explain how he uses it to prove that computers cannot understand language as they operate on syntax alone, where syntax is insufficient in producing understanding. Thereafter, I provide a description of the robot reply to the Chinese room argument, which states that a robot with a computer insert and sensory apparatus would be able to achieve understanding, a view which Searle argues is still insufficient.
This was one of the messages that I received from cleverbot, this shows how he has stored a response from a previous user, this is a strategy the robot uses to disguise itself, the capital ‘H’ shows that the the user has made a typo, using such responses instead of giving perfectly written answers, it blends in as a human. The second response shows how instead of being programmed to recognise the numerals and giving a correct answer, giving a random answer from the user can help it blend in more, also humans are likely to make mistakes such as this example, so as it is not programmed to give perfect answers, it fits in as a human. Below we see two different answers to the same question, this may be a breaking point the technique which Cleverbot uses, as its programmed to give past answers, but is not programmed to identify when a new user is in place, and so does not have a memory to keep the responses said to one user separate from another user, whereas us humans have the intelligence to distinguish our replies to different people. on the side, the conversation shows how non - sensical this technique used by Cleverbot can sometimes be non - sensical, as it is programmed to remember to all the inputs by the user but can not keep track of which reply was given to which user.
“How do you tell what are real things from what aren’t real things?” (Aldiss 446) Since antiquity the human mind has been intrigued by artificial intelligence hence, rapid growth of computer science has raised many issues concerning the isolation of the human mind. The novella “Super-toys Last All Summer Long” is written by Brian Aldiss in 1969. Aldiss’ tale depicts the paradoxical loneliness of living in an overpopulated world.
and even “what was a human being?” The trick with these questions
In his essay “Minds, Brains, and Programs”, John R. Searle argues that a computer is incapable of thinking, and that it can only be used as a tool to aid human beings or can simulate human thinking, which he refers to as the theory of weak AI (artificial intelligence). He opposes the theory of strong AI, which states that the computer is a mind and can function similarly to a human brain – that it can reason, understand, and be in different cognitive states. Searle does not believe a computer can think because human beings have programmed all the functions it is able to perform, and that computers can only compute (transform) the information it is given (351ab¶1). Searle clarifies the meaning of understanding as he uses it by saying that an
Douglas employs notable examples to support his claims and rightfully proves why AI is not as risky as seen by the public. David Parnas’ “The Real Risks of Artificial Intelligence” focuses on the unseen negative aspects of Artificial Intelligence. He argues that AI programs can be untrustworthy and even in some cases, destructive due to the programming approach that programmers take. While Parnas is negative about the concept of Artificial Intelligence, Eldridge see Artificial Intelligence in a brighter light. Both authors present their arguments differently in terms of tone, level of diction, examples and organization.
Web. 01 Nov. 2015. Artificial Intelligence has been a positive impact in the working field by being trained in less than thirty minutes to have common sense and adapt to the environment. In 2011, there was a sale hit of $8.5 billion worth of industrial robots sold. There is currently about 1.1 million working robots in the workforce reducing the delivery time by 20 percent.
In Alan Turing’s paper Computing Machinery and Intelligence, he proposes a thought experiment that would eventually be tested, and even later be beaten. He describes an experiment where a man and a woman are in two different rooms and an outside observer has to guess at the sexes of the participants. He then suggests that one of the participants be replaced with a computer. Once humanity is unable to tell the difference and will guess that the computer is human at the same rate that it will guess that it is a machine will answer Turing’s thesis of, “Can machines think?’ (434).
Artificial Intelligence and its effect on the workforce Artificial intelligence(AI) is a recent reality of technological advancement affecting human society. To analyze its effect on the workforce we will look back in history for technological disruptions and how they affected the workforce and compare and contrast to the way AI is currently impacting and will continue impacting the human workforce and other aspects of human society such as economics, politics and the general environment. History Throughout history technological advancement has affected human society in its ways of living, working and its environment.
The Turing test has become the most widely accepted test of artificial intelligence and the most influential. There are also considerable arguments that the Turing test is not enough to confirm intelligence. Legg and Hutter (2007) cite Block (1981) and Searle (1980) as arguing that a machine may appear intelligent by using a very large set of
Artificial Intelligence is the field within computer science to explain some aspects of the human thinking. It includes aspects of intelligence to interact with the environment through sensory means and the ability to make decisions in unforeseen circumstances without human intervention. The beginnings of modern AI can be traced to classical philosophers' attempts to describe human thinking as a symbolic system. MIT cognitive scientist Marvin Minsky and others who attended the conference
Rise of Artificial Intelligence and Ethics: Literature Review The Ethics of Artificial Intelligence, authored by Nick Bostrom and Eliezer Yudkowsky, as a draft for the Cambridge Handbook of Artificial Intelligence, introduces five (5) topics of discussion in the realm of Artificial Intelligence (AI) and ethics, including, short term AI ethical issues, AI safety challenges, moral status of AI, how to conduct ethical assessment of AI, and super-intelligent Artificial Intelligence issues or, what happens when AI becomes much more intelligent than humans, but without ethical constraints? This topic of ethics and morality within AI is of particular interest for me as I will be working with machine learning, mathematical modeling, and computer simulations for my upcoming summer internship at the Naval Surface Warfare Center (NSWC) in Norco, California. After I complete my Master Degree in 2020 at Northeastern University, I will become a full time research engineer working at this navy laboratory. At the suggestion of my NSWC mentor, I have opted to concentrate my master’s degree in Computer Vision, Machine Learning, and Algorithm Development, technologies which are all strongly associated with AI. Nick Bostrom, one of the authors on this article, is Professor in the Faculty of Philosophy at Oxford University and the Director at the Future of Humanity Institute within the Oxford Martin School.
I do not believe the field has been developed to its potential in any regard, and feel that considerable progress can be made to improve the interactive experience that users have with an artificial intelligence application. This genuine intrigue combined with my curiosity for the subject matter and the limitless potential of the field are the reason why I wish to pursue a greater depth of knowledge in artificial