Pros And Cons Of Artificial Intelligence

As scientists continue to their research, fundamental questions about intelligence are brought to the surface.

Artificial Intelligence is the taking over of machines to do tasks that would normally require a human to do. The idea of artificial intelligence has been around for years, appearing in movies and television shows to show what the future might bring. Artificial intelligence is becoming closer to a reality and now society must question if it should have a role in society. Artificial intelligence has many flaws at the moment making it impractical for use until society can address the issues facing it like the loss of jobs and how to control the use of AI.

When someone brings up the term “artificial intelligence”, a variety of connotations tend to arise, connotations that often are unfair or unrepresentative of the true real-world applications of such a term. Due to the incidentally fear-mongering nature of the media, artificial intelligence can refer to something as basic as a robotic arm in a factory, as well as the implied extinction and/or enslavement of the human race as caused by robo-revolution. As of today, however, when applied in the world of modern technology, artificial intelligence is defined as any innovation that performs a task usually completed by humans. Of course, with this definition, artificial intelligence holds the potential for both societal harm and benefit, and its fate

Turing, a physicalist, believed that artificial intelligence could be achieved in the future. Turing argued that the mind was merely due to the physical aspects of the brain and so a machine could one day be created that has a mind of its own, i.e. artificial intelligence. He created a test called the Turing Test to determine whether a machine has artificial intelligence. In the Turing Test, an interrogator asks two subjects a series of questions. One of the subjects is a person, the other is the computer. The goal is for the person to imitate a computer and the computer to imitate the person. If the interrogator is fooled into thinking that the computer is the human then the computer, according to Turing, is concluded to have the ability to think and thus, have a mind. Turing argued that machines passing the Turing Test were sufficient for ascribing thought.

The most prominent example of the concept of a machine being intelligent in the manner of this so

Society today is greatly influenced by technology and the impact it has had within the past 20 years. One of the largest breakthroughs, though, is Artificial Intelligence (A.I.). The technology associated with A.I. has greatly developed in the past years, and is only making devices smarter. When someone mentions technology, or even the technological breakthroughs the world has gone through recently, many people go straight to smartphones and computers. A.I. is often overlooked, or put into a general category of "technology". Yet, artificial intelligence is something that should we not be so quick to dismiss, and should be something that gets people talking and even excited for what the future holds.

Artificial intelligence is the development of a computer system that is able to perform tasks of human intelligence like visual perception, speech recognition, and decision-making. Computer scientists have made a substantial advancement in the

The first step in getting anywhere with this debate must begin with defining what artificial intelligence is exactly. Artificial Intelligence, also known as AI, is the area of computer science focusing on creating machines that can engage in the human behaviors of intelligence.

Alan Turing is a rare figure amongst the many historical worthies of post-war Britain. He would, at first, seem an unlikely candidate to become a popular, globally recognised icon. He worked within a comparatively novel and arcane scientific field, the central concepts of which are still only fully understood by specialists. It was one which emerged from mostly from his own high-level theoretical reasoning and debating the earlier work of (the similarly obscure) Kurt Gödel upon whether mathematical processes could truly solve any definable problem. 1

By inventing the Turing Machine, a hypothetical machine which manipulates symbols on a strip of tape according to a table of rules, in 1935, he is widely considered as the father of Artificial Intelligence. He believed that computers would be able to learn and devised the Turing Test, which would text whether a computer was really intelligent. To this day, no computer has passed the test, as yet, and all stored-programme digital computers are modelled on this

In his paper “Computing Machinery and Intelligence,” Alan Turing sets out to answer the question of whether machines can think in the same humans can by conceptualizing the question in concrete terms. In simple terms, Turing redefines the question by posing whether a machine can replicate the cognition of a human being. Yet, some may object to the notion that Turing’s new question effectively captures the nature of machines’ capacity for thought or consciousness, such as John Searle. In his Chinese room thought experiment, Searle outlines a scenario that implies machines’ apparent replication of human cognition does not yield conscious understanding. While Searle’s Chinese thought experiment demonstrates how a Turing test is not sufficient to establish that a machine can possess consciousness or thought, this argument does not prove that machines are absolutely incapable of consciousness or thought. Rather, given the ongoing uncertainty of the debate regarding the intelligence of machines, there can be no means to confirm or disconfirm the conscious experience of machines as well as the consciousness of humans by extension of that principle.

To progress as a society, we must first look back at all the hardships faced throughout the years. We must look at the world leaders who were able to convince entire countries to eliminate millions of people different than themselves. We must understand the groups of extremists spreading terror and fear across the globe, and we must control people in power abusing their positions to benefit themselves and their agendas. Instead of ignoring these human mistakes, we must break them down and figure out how they could happen. Artificial Intelligence relies on our abilities to learn from our mistakes and mold our future in a way that will be beneficial and equal to all people. This paper will present the many benefits that A.I. will give

By the strange laws of quantum mechanics, Folger, a senior editor at Discover, notes, an electron, proton, or other subatomic particle is "in more than one place at a time," because individual particles behave like waves, these different places are different states that an atom can exist in simultaneously. Ten years ago, Folger writes, David Deutsch, a physicist at Oxford University, argued that it may be possible to build an extremely powerful computer based on this peculiar reality. In 1994, Peter Shor, a mathematician at AT&T Bell Laboratories in New Jersey, proved that, in theory at least, a full-blown quantum computer could factor even the largest numbers in seconds--an accomplishment impossible for even the

It is fairly difficult to define precisely the word decision but everybody agrees to have experienced the concept. Every human being thinks, rightly or wrongly, that in many occasions he has made a choice between different alternatives. The natural notion of human free will in choosing between various alternatives will be discussed in my paper. On the other hand, Ai (Artificial Intelligence) is the ability of a machine to think or act humanly or rationally. There are at least two basic views about AI. The first one states AI as ‘sciences of the artificial’ (Simon, 1969), or the science of developing machines performing human tasks. The view of AI has relatively few link with decision making to the extent that a machine cannot make a decision until and unless it has been programmed to do so. In other words, the concept of

In the future, we may be able to build a computer that is comparable to the human brain, but not until we truly understand one thing. Lewis Thomas talks about this in his essay, "Computers." He says, "It is in our collective behavior that we are most mysterious. We won't be able to construct machines like ourselves until we've understood this, and we're not even close" (Thomas 473). Thomas wrote this essay in 1974, and although we have made many technological advances