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Social, economic, and ethical consequences of AI
The influence of artificial intelligence on humanity
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Introduction: What is Artificial Intelligence (AI) ?
Artificial Intelligence (AI) is a branch of computer science which deals with helping machines find solutions to complex problems in a more human-like fashion. [1] What does it mean to say that a machine might be intelligent? This is the goal of the field of AI, yet it is not an easy goal to define. AI researchers express their goals differently, but they all share an interest in creating, through the hardware and software of a computer, an entity that is in some way recognized as intelligent and that shares some aspects of the distinctly human conditions. Thus, AI can be viewed as the attempt to create a machine that is in some way created in the image of the human person, an image loosely defined using the term intelligence. [3]
One of the most challenging approaches facing experts is building systems that mimic the behavior of the human brain, made up of billions of neurons, and arguably the most complex matter in the universe. Alan Turing, a British computer scientist, stated that a computer would deserves to be called intelligent if it could deceive a human into believing that it was human. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. [1]
"Strong AI" approach claims that modeling the human mind is necessary for creating some form of computer-based AI that can truly reason and solve problems. A strong form of AI is said to be sentient (self-aware). In contrast, "weak AI" approach focus instead on simulating intelligence (attempting to create machines which will be perceived as intelligent by their users) rather than trying to create it through a model of the mind.
The field of Artificial Intelligence has split into several different approaches based on the opinions about the most promising methods and theories. These rivaling theories have lead researchers in one of two basic approaches: bottom-up approach (which believe the best way to achieve artificial intelligence is to build electronic replicas of the human brain's complex network of neuronsand) and top-down (which attempts to mimic the brain's behavior with computer programs). [4]
Many articles showed a desire to allay fears that computers truly are intelligent, or worse, that human might soon be supplanted by machines. [3] Intelligent computers, robots, androids, and cyborgs have come to be staple characters in science fiction stories and films.
Andy Clark strongly argues for the theory that computers have the potential for being intelligent beings in his work “Mindware: Meat Machines.” The support Clark uses to defend his claims states the similar comparison of humans and machines using an array of symbols to perform functions. The main argument of his work can be interpreted as follows:
In the essay "The AI Revolution Is On" by Steven Levy, the author stated how new vision of computer intelligence are differ ...
Climbing Mt. Everest is an accomplishment that only a limited number of people can say they have accomplished. Despite statistics that illustrate most fail or die trying, numerous people are drawn to the mountain each year and truly believe they can be among that elite group. In the spring of 1996, Jon Krakauer, a journalist for the adventure magazine Outside and a passionate climber himself, was offered the opportunity to climb Mt. Everest. The original offer was to join an Adventure Consultants team led by Rob Hall, a respected and well known guide, climb to base camp and then write a story on the commercialism that had penetrated this incredibly risky but addicting sport. Without much hesitation Krakauer accepted the offer but not to just go to base camp; he wanted the top. The expedition started out as predicted but an unexpected storm the day of the summit push turned this expedition into the most devastating expedition of all time. Krakauer was changed for life; an article on the commercialism surrounding the mountain would no longer suffice. Into Th...
Advantages include clients feeling less isolated, making social contact, seeing others who have similar crisis like theirs so that they would feel more comfortable opening up about their crisis. Another advantage in crisis intervention, is the psychoeducational component. It does not only describe possible reactions to trauma but also includes the cognitive behavioural approach for symptom management. Timely access to crisis intervention has shown to reduce the need of hospitalisation. (Guo, Biegel, Johnsen & Dyches, 2001) The biggest strength of Roberts’ model provides a quick assessment to determine the need for improvement of coping plans. Through these coping plans, we can develop the intervention and it may not be applicable to all cases or identification of the need for further plans is important. Another strength of Roberts’ model is its extend beyond lethality. (Shadone, 2011) The limitations of crisis intervention are an inability to focus about one client’s problem and the suggestions of maladaptive or destructive coping methods by group members. The emergency services uses crisis intervention techniques in order to provide a psychological debriefing to responders of critical incidents. Another limitation would be the inability to reduce symptoms of PTSD and the possibility of vicarious traumatization of the clients. It appears likely that iatrogenic effects might result from
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.
As our research into science and technology ever increases its seems inevitable that in the near future Artificial Intelligent machines will exist and become part of our everyday life such as we see with modern computers today.
The traditional notion that seeks to compare human minds, with all its intricacies and biochemical functions, to that of artificially programmed digital computers, is self-defeating and it should be discredited in dialogs regarding the theory of artificial intelligence. This traditional notion is akin to comparing, in crude terms, cars and aeroplanes or ice cream and cream cheese. Human mental states are caused by various behaviours of elements in the brain, and these behaviours in are adjudged by the biochemical composition of our brains, which are responsible for our thoughts and functions. When we discuss mental states of systems it is important to distinguish between human brains and that of any natural or artificial organisms which is said to have central processing systems (i.e. brains of chimpanzees, microchips etc.). Although various similarities may exist between those systems in terms of functions and behaviourism, the intrinsic intentionality within those systems differ extensively. Although it may not be possible to prove that whether or not mental states exist at all in systems other than our own, in this paper I will strive to present arguments that a machine that computes and responds to inputs does indeed have a state of mind, but one that does not necessarily result in a form of mentality. This paper will discuss how the states and intentionality of digital computers are different from the states of human brains and yet they are indeed states of a mind resulting from various functions in their central processing systems.
Artificial Intelligence is intelligence which is exhibited by machines. A.I. simply refers to making computers act more intelligently.
The approach to artificial intelligence should be proceeded with caution. Throughout recent years and even decades before, it has been a technological dream to produce artificial intelligence. From movies, pop culture, and recent technological advancements, there is an obsession with robotics and their ability to perform actions that require human intelligence. Artificial intelligence has become a real and approachable realization today, but should be approached with care and diligence. Humans can create advanced artificial intelligence but should not because of the harm they may cause, the monumental advancement needed in the technology, and that its harm outweighs its benefits.
In order to see how artificial intelligence plays a role on today’s society, I believe it is important to dispel any misconceptions about what artificial intelligence is. Artificial intelligence has been defined many different ways, but the commonality between all of them is that artificial intelligence theory and development of computer systems that are able to perform tasks that would normally require a human intelligence such as decision making, visual recognition, or speech recognition. However, human intelligence is a very ambiguous term. I believe there are three main attributes an artificial intelligence system has that makes it representative of human intelligence (Source 1). The first is problem solving, the ability to look ahead several steps in the decision making process and being able to choose the best solution (Source 1). The second is the representation of knowledge (Source 1). While knowledge is usually gained through experience or education, intelligent agents could very well possibly have a different form of knowledge. Access to the internet, the la...
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
Artificial intelligence is defined as developing computer programs to solve complex problems by applications of processes that are analogous to human reasoning processes. Roughly speaking, a computer is intelligent
Artificial Intelligence “is the ability of a human-made machine to emulate or simulate human methods for the deductive and inductive acquisition and application of knowledge and reason” (Bock, 182). The early years of artificial intelligence were seen through robots as they exemplified the advances and potential, while today AI has been integrated society through technology. The beginning of the thought of artificial intelligence happened concurrently with the rise of computers and the dotcom boom. For many, the utilization of computers in the world was the most advanced role they could ever see machines taking. However, life has drastically changed from the 1950s. This essay will explore the history of artificial intelligence, discuss the