Free Sample: Artificial Intelligence paper example for writing essay

Artificial Intelligence - Essay Example

The Idea of creating an Intelligence being was proposed and discussed in various ways by writers and philosophers centuries before the computer was invented. The Roman poet Ovid wrote a story of a beautiful woman brought to life, later forming the fable “MY FAIR LADY. In the industrial ages, Mary Shelley and DRP. Frankincense manufactured a man from separate components and brought him to life through electricity. By the uses, fiction was beginning to mirror the goals of the most ambitious AAA researchers.

The films Like Blade Runner Terminator, AAA and many others showing gadgets and robots present a vision of cowboy machines almost indistinguishable from humans. It was easy to develop animal-like intelligence but to embed human intelligence became difficult for the scientists. Future & Scope of AAA The researches in AAA have resulted in various Industrial and Commercial sys. The following successes are a verdict to the immense contributions In the past & present and also promise a bright future for humans and AAA environments In the future: a. Economic Monitoring system b.

Satellite Tracking system c. Space Navigation system d. Aircraft Monitoring system e. Mil Expert systems f. Vehicle Navigation sys g. Speech Synthesis & Recognition sys h. Immortal Robot sys I. Non-volatile Memory sys The future environments of AAA are meant to make a man’s life easier. They promise to sake the world a better place for humans in future AAA SYS WORKING The Perception It involves a step by step process: a. Capturing the Image In a Numeric Array . The Depth Perception d. Description of Texture Decoding the Color e. . Looking for a Match of the Model Similarity Functions g. . Touch Perception Representing Perceived Knowledge Logical Representation It uses expressions in formal language to represent the knowledge required. Facts are expressed as simple propositions; true / false, on / off and more precisely 1/0. For a statement like “It is raining and I am hungry’, both the conditions can be true or false or combination of both. This is expressed using the AND / OR operator for situation P & situation Q. Procedural Representation These are declared instructions for problem solving. It contains a set of rules that alter the facts in the database.

These rules are generally in the following form: IF < CONDITION > THEN < ACTION > Network Representation They capture knowledge as a graph in which nodes represent relationships and associations. Classes can also have sub-classes that inherit properties in a similar way. Structural representation Information is organized in complex knowledge structures. Slots in structures represent attributes where values can be placed. Structured information can capture complex sit or objects, for example eating a meal in a restaurant or the contents of a room in the hotel.

Such structures can be linked together as networks. Frames and Scripts are the most common types of structured representation. Searching for Perceived Knowledge 1 1 . Three types of search for acquiring the perceived knowledge are possible: Random Search It explores any memory path at random. It often fails to give results and skips info present in memory. It may also retrace a path it has tried before. Also called the “drunkard’s walk”, this search might reach its goal quickly by chance, but it is the east efficient way to go about the Job.

Exhaustive Search It systematically explores the trees in the memory without repeating or missing any of them. It is stereotypical and time-consuming in nature. It will backtrack if a path is exhausted until the goal is achieved. Heuristic Search It applies a heuristic (an evaluation rule that estimates the potential of each option to lead towards the goal) at every decision point. It explores and simultaneously evaluates the potentials of every option to lead towards a goal and searches on that path.

It pursues the most promising option, backtracking if necessary. It is the fastest. AAA CHARACTERISTICS Machine Learning information and knowledge using feedback control system. Natural Language Understanding AAA is meant for human usage and so for understanding their natural language in different styles. Decision Making The decisions in AAA are based on previous experience, information and knowledge gained. Fuzzy Reasoning & Logic Implementation It is a superset of conventional (Boolean) logic that has been extended to handle uncertainty in data.

Semantic Networks-Memory Org The AAA machine org the acquired info into nets of knowledge linked in memory called the semantic nets of information. Artificial Neural Networks-Including Perception The machine necessary has Neuron-like Network to receive info of touch, movement, changing temperature and atmospheric, threats from environment. They are distributed over the entire machine in a regular fashion in the shape of intelligent sensory preceptors. Auto-programmability Function The intelligent AAA machine is capable of programming itself from time to time and from situation to situation.

The user may be a guideline to what all has to be programmed in it but then again it will accept inputs from the user in plain natural language. Expert Systems The specialized task AAA machines form part of commercial or industrial expert sys. Expert Advice & Consultancy Based on huge databases of generations and ages, the AAA machine is able to give valuable advice. VEILS Circuit Design 21 . The simultaneous processing tasks; very complex and huge in nature, and the shortage of space in AAA machines requires that they be manufactured as miniature modules.

The Very Large Scale Integration (VEILS) of circuit’s methodology is nowadays used for fast computers and robots. Simulation Based Expert Sys 22. The Ai sys are also capable of simulating info and environments. A stimulated vision of the Battle field for an anxious Command to plan and then explain the tauter of terrain, deployment of weapons, occupation of defensive position, enemy dispositions, etc. , shall provide crucial information for which the command would otherwise arrange patrol, surveillance or reconnaissance.

The Nuclear Attacks are also simulated for range and effectiveness using simulation expert system. AAA DAILY LIFE APPLICATIONS . Position & Location system IT Based system 2. Auto-programmable Expert system 3. Automated Homes & buildings. 4. Smart Simulation 5. Military Expert system 6. Industrial Application system 7. 8. Satellite Tracking system 9. 10. Space Navigation system 12. 13. 14. Vehicle Navigation system Education Expert system Medical Expert system Results AAA is meant to shift the workload of man to machines.

So, the promotion of AAA is in fact making life better for the humanity. AAA promises a non-erroneous and redundant course of life. AAA is a record of history; of our ancestral experiences and it is not new that man has been learning from history The possession of AAA resources enhances speed& accuracy. It saves time and eliminates wastage of resources. AAA has become the requirement of Intelligence & Information Warfare and the one who will conquer it shall have an edge and shall not remain deprived of the fruits it ill bear in the times to come.

Free Sample: Artificial Intelligence paper example for writing essay

Artificial Intelligence - Essay Example

This does not, however, mean that one of the sexes is superior, but that they are different, and that these differences have to be worked out and brought into people’s minds. This little interlude also brought another point up: the desire to replicate. This being the most basic of all basic desires, it cannot be ignored. No experiment in the field of AAA has yet specified which gender the mind would be. In a world, where there is no need for a partner to replicate (because there is a simple ‘copy’-mechanism, for example), social structures would be completely different from man’s.

It is even the question, if different genders were necessary at all. Thus, an artificial mind would also need the ‘ability’ to die, as well as that to mate and replicate, otherwise the resulting being would be beyond any recognition by a human mind. A mind that cannot die and that doesn’t feel the need to replicate in a manner similar to humans, would be very different from man. Such an environment would eve to be created artificially, but in a different sense: The conditions would have to be made more difficult than they needed to be, only to force the beings to act human-like.

And only an evolutionary process would lead to a mind similar to a human one. This is the third deficiency. 3. THE ART OF LEARNING : Learning isn’t a ‘static’ ability, but one which continuously changes: You must learn how to learn, and the way you learn changes. The new-born child can only learn by first-hand experience, and hardly generalize. But the older the child gets, the more he/she can learn without having experienced a corresponding situation. Indeed, most of what you know is what you were taught by others, read in books, etc.

This probably is the main advantage of man over all other animals: that we can pass on knowledge, so that the next generation doesn’t have to make the same mistakes again (it does anyway, but that’s a different problem … ). Your knowledge includes the first-hand experiences of hundreds of thousands of people, whose knowledge and experiences were collected and put into a structured form, in order to make learning these facts easier. People nowadays aren’t more intelligent than 1000 years ago, but we have ore knowledge, and thus can achieve far higher goals.

Like Newton said: “I am a dwarf, but I can see very far for I am standing on the shoulders of giants”. But what effects does this have on AAA? The brain changes, and not only does its knowledge change, but also the way it accumulates knowledge and makes use of it. An artificial intelligence must be able to change its own programmer. 4. THINKING OUTSIDE THE BRAIN : The previous point contains another interesting thought: Whatever you do, whatever you think or say – it hasn’t been thought up entirely by you, it always contains parts from other people.

This is the key to developing beyond what a single generation can reach (see previous section). But it also leads us to a somewhat discomforting question: How much of that brain is actually mine ? What percentage of what I think has been thought by others already ? How different am I ? They’re sitting around a table, discussing ideas and problems, taking notes, and thinking about whether or not that last proposal was good. In the end, they will come up with a solution that will be far better than one that any of them had worked out in his/her own!

The result will even be better than if each of them was assigned a fifth f the problem, and solved it alone. This team is able to achieve more than five single persons can do independently. But what is the difference between five isolated persons and a team of five? If the team develops an idea that the single persons don’t, which of the members created it? It’s not a person that created the idea, but the interaction process, the discussion. An act of thinking has been done by an immaterial process, not a single person. 5.

THE IDEA OF A GENERAL CONCEPT OF INTELLIGENCE : All the points made above make one thing clear: In order to build an artificial intelligence, it must be built as human-like as possible. Without basic human ‘ingredients’, the resulting mind might not even be recognized as such. This boils down to the feeling that the goal is to build a mere copy of the human mind. Why on earth, one might wonder, would anybody want to build a copy of the human mind? Isn’t the original working fine? Isn’t it superior to everything known? Isn’t one’s mind the most difficult thing to be examined by itself?

What would be the use of such an artificial mind, that would need even more artificial means, only to stay human-like? The only logical solution to this is to completely separate human from artificial intelligence, in order to build something entirely new. This naturally leads to the idea of a higher principle of Intelligence, that human intelligence is only one manifestation of (in order to distinguish between the traditional human intelligence and this new idea of a more general concept, I want to spell the latter with a capital l: Intelligence).

Another one would be artificial intelligence, and another one still the intelligence developed on a planet many lighteners from here. Again, I remind you of the points Just made. Considering these, how should a mind that is the result of evolution on an entirely different planet be animal to ours in any way? There must be similarities, but on a higher level: on the level of Intelligence (note the capital l). In that hierarchy, AAA is on the same level as human intelligence, together with animal intelligence and any other kind of intelligence that one might encounter.

The following figure illustrates this: APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN CAD / CAM / JIM Artificial Intelligence (AAA) technology comprises several areas of current research and development. Some of these are : Expert Systems Natural Language Understanding Neural networks Fuzzy Logic Computer Vision Intelligent Robotics Decision support systems Voice recognition Main thrust of the application of artificial intelligence in CAD/CAM/JIM is that AAA techniques can be used to substitute humans in the decision making process. This is important because decisions are made either intuitively or based on facts.

Once facts are organized in a systematic manner, and the logic of decision making is laid down, then the computer can make the decisions or help the human operator with advice winch will enable him to take the decisions. The advantage of the computer lies in the fact that it can scan a vast area of knowledge and accept a wide range of inputs o base its decisions. If the problem is a structured problem, it is easy to take a decision. However, if the problem is an unstructured one, decision making requires expertise. Busy traffic intersection without a police constable on duty can be likened to an unstructured problem.

Many situations in industries are often unstructured. The various fields of AAA which are of interest to manufacturing engineers are briefly described below : 1 . Expert Systems : An expert can be defined in many ways. An appropriate definition suitable to the present context is : An expert is a person who can take good decisions based on a limited number of facts” An expert system can be designed as an interactive program with an expert like performance in a particular problem-solving domain (area of expertise).

Also consisting of facts relevant to the field and heuristics for applying those facts. Though at present the expert systems are used mostly as assistants to experts, they are being updated so as to be used by a non-expert user. Components of an Expert System : The principal components of an expert system are : a knowledge base, an inference engine and a user interface. I. Knowledge Base : The components of an expert system that contains the system’s knowledge (domain knowledge) is called its knowledge base. This part of the system is critical to the way the system is constructed.

It contains both declarative knowledge as well as procedural knowledge. The procedural knowledge often is of rule based type. Lie. Inference Engine : The inference engine also known as rule interpreter decides which heuristic search techniques are used to determine how the roles in the knowledge base are to be allied to the problem. In effect, an expert system is ‘run’ by its inference engine which determines which rules are to be invoked, and which rules are excluded when an acceptable solution has been found.

An inference engine that works well in one expert system may work Just as well with a different knowledge base, thus reducing development time. Ill. User Interface : The user interface component enables you to communicate with an expert system. The communication performed by a user interface is bidirectional. The system is able to respond with recommendations and, requests additional information about the problem and so on. Fig – Expert Systems Features of an Expert System : The ideal expert system should possess certain essential criteria such as : The knowledge base should be expandable.

The expert system must be capable of acquiring knowledge. Ideally, an expert system must be capable of advice with suitable explanation. 2. Computer Vision : Computers are now being interfaced with a CDC camera and image processing user graphic information about a scene or a part for the purpose of recognition (say recognition of parts coming through a conveyor), inspection, (dimensional inspection, vision injection for defects etc. ). Computer vision systems can be interfaced with CM, welding robots and assembly robots to improve the efficiency of operation.

The application of computer vision for inspection has been dealt with in Chapter 8. 3. Robotics : There are several applications of robots which require adaptively changing the robot program. A typical example is arc welding using robots. Here, a number of sensors are used to measure the welding parameters and the program of weld is controlled by the data received from these sensors. Similarly force / torque / slip sensors are attached to the gripper of some robots to achieve, precise control the gripping force.

There is considerable scope for employing intelligent robots in computer integrated manufacturing. Applications of Industrial Robots : Material Handling. Machine Tending. Welding. Surface Coating. Machining. Assembly. Inspection. 4. Voice Recognition : The primary methods of human communication being speech, the goal of research in this field is to allow computers to understand speech so that they can recognize spoken words. Automatic speech recognition research seeks to advance the goal of natural language processing by simplifying the process of communication between programmers and computers.

Programming of CNN Machine tools and control of robots are two areas where voice recognition can be of substantial help. 5. Neural Networks : Neural networks is a promising area of AAA. Neural networks can have applications in robotics, object recognition and is a developing Geld of great promise as far as CAD/ CAM/JIM is concerned. 6. Fuzzy Logic : Many decisions in activities connected with JIM operations are carried out without are selected using fuzzy logic in some EDM systems. When decisions are to be made under conditions where exact reasoning is either not available or possible, fuzzy logic provides a better solution.

Brief descriptions of some applications of JIM are discussed below : EXPERT SYSTEMS IN JIM : An expert system is a software package that includes (I) a stored knowledge base in a specialized area and (it) heuristics – the capacity to probe this knowledge base and make decisions or recommendations. An expert system functions very much differently from a common computer. What it does with the information it receives is that it analyses the information and provides a solution to the query input. 1 . Categories of Expert Systems : The expert systems can be applied to any situation that normally requires human intelligence.

The applications of the expert system can be divided into several categories, some of which include interpretation, prediction, diagnosis, design, planning, monitoring, control, instruction etc. The details of these which are of specific interest to JIM are given in Table. There are several categories of expert systems. Rule Based Expert System : In this approach to an expert system, a series of IF-THEN roles based on human expertise is used. For example : IF the peripheral speed of the gear is high, THEN noise generated will be more. IF the number of teeth on the pinion is less than 14 THEN the pinion be given positive erection.

Table : Functional Categories For Expert System Application Category Problem Addressed Application Interpretation Infers situation Speech understanding description from image processing sensor data (Vision systems, Test results) Prediction Estimation of tool wear Diagnosis Infers system malfunctions from observations Fault diagnosis of machines Design Configure objects under constraints PC / VEILS Design Mechanical Design Planning Designs actions Monitoring Controls observations in order to plan Real time control of equipment in FM, JIM etc. Model Based Expert System/ObJect Orientation :

This approach is especially useful in diagnosing equipment problems or trouble- shooting. Many empirical design procedures may also be classified under this category. A model based expert system is based on a ‘model’ of a device that behaves in a particular way, given a set of operating conditions. Since they draw conclusions from knowledge of structure and behavior of devices and systems model based expert systems are said to reason from first principles. A more detailed representation of knowledge can be achieved by the use of frames. The use of frames make AAA programs more flexible.

Free Sample: Artificial Intelligence paper example for writing essay

Artificial Intelligence - Essay Example

Artificial Intelligence Journalist John Markova wrote the article “Computer Wins On Jeopardy! ‘: Trivial, It’s Not”. He discusses how the super computer “Watson” defeated the all time champion of “Jeopardy! ” Ken Jennings. The author, throughout the article, agrees that the supercomputer “Watson” was a fair match against Ken Jennings. I disagree with Marko’s multiple reasons. This was In no way a fair match because the computer had a remarkable ability to answer questions at super speeds. Also, the computer has access to all available questions and the ability to answer them.

This was In no way a fair battle between the computer and Ken Jennings. The author’s main idea of this article Is mainly to say how the supercomputer was a fair match between the two. The computer has ways to answer questions that humans have no way of doing. The computer can answer questions within seconds and even milliseconds when the question Is asked. It has a super speed ability to answer these questions, which gives no time for the competitor to even have a chance to answer the questions given. So, when the competitor has no time to even eve an attempt to answer the question, there is no way to win. Watson” is so smart that almost every question that is asked, he answers correctly. Since I don’t agree with Marko’s statement about “Watson”, I don’t think his argument is valid. The reason I don’t believe his argument and points are valid is that a computer that has remarkable and inhuman-like abilities is obviously going to win in a competition of speed and knowledge. Ken Jennings had no chance against this computer. So, if a human has no chance against a machine, how can anyone call this a fair fight?

Now, Markova did define his terms clearly and specifically describe his reasons for why he thinks what he thinks, so I do give him credit for that. Still, I disagree with his argument. I disagree with most of Marko’s view about the competition between the computer and Jennings. His main point of the fair competition is totally undetectable. “Watson, on the other hand, does not anticipate the light, but has a weighted scheme that allows it, when it is highly confident, to hit the buzzer in as little as 10 milliseconds, making it hard for humans to beat” (Markova 212).

This statement made by Markova proves that this was in no way possible for Jennings to beat the super computer. The computer can buzz In at amazing speeds as little as 10 milliseconds, which Is way faster than any other human could possibly buzz In. Plus, the computer Is programmed with so much Information, that It would most likely be able to defeat Jennings, just because of the Intelligence of this machine that the creators programmed Into It. Overall, I do not believe that this piece published by John Marko’s In anyway valid. Markova does however succeed In persuading people his

Ideas and describing his Ideas and arguments very specifically. He does a good Job with his argument and stating what he thinks. I do not agree with his argument though. My reaction to this piece is actually astonished because I am not sure how anyone could think that a computer competing against a very intelligent human was fair at all. The weakness of this passage is probably how it can be hard for someone are good description and expression of the passage. Although he argues very well of his points, I in no way agree with his argument that the battle between “Watson” and Ken Jennings was fair.

Free Sample: Artificial Intelligence paper example for writing essay

Artificial Intelligence - Essay Example

We have come so far. Some might say that Artificial Intelligence was first seen in ancient history with mythological gods. Others believe the idea was created in early sass’s. These are still debated between many scientists. Artificial Intelligence means much more than an Idea to those who have dedication their lives to this science. In this paper I will be discussing the history, progress. And future of Artificial Intelligence. Or as some know it (A. L. ). Shall we began? As some scientist argue, the beginning of artificial intelligence was first seen in mythology.

Shall we take a look? In mythology, there were creatures that were made out of objects. For example, the story of Pygmalion and Galatea. Pygmalion was a sculptor who was so into his creations he shunned women. One day he created a sculpture of a woman, who he named Galatea. He found the beauty In this sculpture overwhelmingly lifelike. He prayed to the Goddess Aphrodite to beg her to turn his new sculpture into a real woman so he could be happy. Aphrodite became interested in the sculpture of Galatea and went that night to see the creation for herself.

When Aphrodite arrived she saw the beauty of the artwork and was overly joyous because it me to resemble herself. She granted Pygmalion his wish and he and his newly living creation lived happily ever after. The basis of this story Is the same as of the more recent Ideas of artificial Intelligence. Artificial Intelligence Is defined as “the study and design of Intelligent agents” (Gobble, Poole, ; Macarthur, 1998). In 1941 an invention revolutionized every aspect of the storage and processing of information. That invention, developed in both the U. S. And Germany was the electronic computer. Dump, Sinister, ; Dyes, 2011) The electronic computer gave way to many ideas. Scientist began to develop theories and find ways to evolve the computer. In 1955, John McCarthy coined the word “Artificial Intelligence”. McCarthy was intrigued about the Ideas that were developed and advantages that were probable because of this new idea. In 1956 John McCarthy, who is referred to as the father of AAA, organized a conference to draw the talent and expertise of others interested in machine intelligence for a month of brainstorming. He invited them to Vermont for “The Dartmouth Summer Research Project on Artificial Intelligence. From that point on, because of McCarthy, he field would be known as Artificial Intelligence. Although not a huge success, (explain) the Dartmouth conference did bring together the founders In A. L. , and served to lay the groundwork for the future of A. L. Research. (Dump, Sinister, & Dyes, 2011) The first generation of A. L. Researchers made these predictions about their work: * 1958, H. A. Simon and Allen Newell: “within ten years a digital computer will be the world’s chess champion” and “within ten years a digital computer will discover and prove an important new mathematical within twenty years, of doing any work a man can do. Crevice, Daniel, 1993) * 1967, Marvin Minsk: “Within a generation the problem of creating ‘artificial intelligence’ will substantially be solved. ” (Crevice, Daniel, 1993) * 1970, Marvin Minsk (in Life Magazine): “In from three to eight years we will have a machine with the general intelligence of an average human being. ” (Crevice, Daniel, 1993) Simon and Allen Newell were correct. There was a computer, named Deep Blue who defeated the world chess champion in 1996. Their estimation was many years off from the original statement they had purposed happening by 1968. H. A Simon on the other hand was impolitely wrong.

Yes there are machines that can do many things, but not one even today that can perform the way a man can. As of today we have not been able to solve the problem of creating Artificial Intelligence. As Marvin Minsk suggested, we would see this within a generation, so I guess we will Just have to wait and see what happens. As you can see, many scientists and theorist expressed ideas of what they believed the advancements in AAA would be. So far only one out of the five, I show above, have been correct. Yes, Artificial Intelligence has come a long way from when it as first founded, but not as far as what many believed.

Yet, what is the actual progress we have made in the past fifty years? It seems that most everything society does and has yet to do will always be measured for its progress. So how far have we come with A. I. Advancements? Artificial Intelligence has been used in a wide range of fields, including medical diagnosis, stock trading, robot control, law, scientific discovery, and toys. However, many A. L. Applications are not perceived as A. L. : A lot of cutting edge A. L. Has filtered into general applications, often without being called A. L. Cause once something becomes useful enough and common enough it’s not labeled A. L. Anymore. (CNN, 2006) Many thousands of A. L. Applications are deeply embedded in the infrastructure of every industry. (Jerkewitz, 2005) In the late ass and early 21st century, A. L. Technology became widely used as elements of larger systems. (NRC, 1999) Many people seem to still be confused when they hear the word Artificial Intelligence. Yes, we have some intricate programming out there, such as the system that can help doctors perform surgery. The machine is not considered artificial intelligence for one specific reason.

To be consider AAA it must be able to function more than Just its programming. The machine that helps surgeons is programmed to do Just that. It cannot separately think on its own. Looking forward the factual creation of A. L. We see the advancements many people have made. We also see many problems that people have ran into. We have long suspected that intelligence is not exclusively a human quality, and that it is possible to build machines that can reason and learn as well as a human can. But what seemed straightforward at first has turned out to be surprisingly difficult. (Nerving, 2012) In the beginning when A. L. s first discovered, many people became interested and quite transfixed with theories. After millions of dollars in funding from the United States for research in Artificial Intelligence, the government decided to cease the funding due to little advancements that were being made. Most people started to see Artificial Intelligence as something that could never think for itself, therefore it could and would not ever exist. If it were ever possible to create an artificial human that had an intelligence level to think and do for itself, Kill explains this best in his article, “Artificial Intelligence and Society: a Furtive

Transformation”. He states, “During the sass, there was a burst of enthusiasm about whether Artificial Intelligence might surpass human intelligence. Since then, technology has changed society so dramatically that the focus of study has shifted toward society’s ability to adapt to technological change. Technology and rapid communications weaken the capacity of society to integrate into the broader social structure those people who have had little or no access to education. (Most of the recent use of communications by the excluded has been disruptive, not integrative. )

Interweaving of socioeconomic activity and large-scale systems had a dehumidifying effect on people excluded from social participation by these trends. Jobs vanish at an accelerating rate. Marketing creates demand for goods which stress the global environment, even while the global environment no longer yields readily accessible resources. Mining and petroleum firms push into ever more challenging environments (e. G. , deep mines and seabed mining) to meet resource demands. These activities are expensive, and resource prices rise rapidly, further excluding groups that cannot pay for these resources.

The impact of large-scale systems on society leads to mass idleness, with the accompanying threat of violent reaction as unemployed masses seek to blame both people in power as well as the broader social structure for their plight. Perhaps, the impact of large-scale systems on society has already eroded essential qualities of humanness. Humans, when they feel ‘socially useless,’ are euthanized. (At the same time, machines (at any scale) seem incapable of emotion or empathy. )” (American Psychological Cassock. , 1999) Many believe that Artificial Intelligence will have no use or impact on our society due to owe far we are from inventing an A. . System. Once the idea of artificial intelligence was founded many became intrigued. After many years of research and countless dollars, we have learned that A. ‘ possibly may not be anywhere close to being realized. Though many are still interested in seeing the day that Artificial Intelligence is truly born, there are many who question the intentions of the use of its systems. Remember a Science Fiction movie you have watched. Picture free thinking robots that are roaming streets. You watch as your neighbor is shot. Suddenly, the robots turn on you.