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Artificial Intelligence - a Miracle or a Threat.docx
Journal of Artificial Intelligence Research (2019)
  • Daisy Rowley, Bryant University
Executive information systems are looking to the future by taking advantage of artificial intelligence to come up with unstructured decision making instead of using the old ways which include bench marking, brainstorming, business rules analysis, using focus groups, functional decomposition and the root cause analysis. Part of the reason why they are starting to use artificial intelligence is because artificial intelligence (AI) simulates human thinking and behavior, such as the ability to reason and learn. Its ultimate goal is to build a system that can mimic human intelligence.
  • Artificial Intelligence,
  • research paper,
  • AI,
  • university,
  • college
Publication Date
Fall January 1, 2019
Publisher Statement
Artificial intelligence is in just about everything these days that we use.  “Intelligent systems are various commercial applications of artificial intelligence. They include sensors, software, and devices that emulate and enhance human capabilities, learn or understand from experience, make sense of ambiguous or contradictory information, and even use reasoning to solve problems and make decisions effectively (Baltzan, 2013).” Intelligent systems can performs simple tasks such as boosting productivity by monitoring equipment and signaling when preventive maintenance is required. These systems can be found in cars on the road today. They can also be found in the form of robots such as Shell Oil’s SmartPump or Matsushita’s courier robot. While artificial systems are unstructured they can increase the speed and consistency of decision making, solve problems, with incomplete information as well as resolve complicated issues that cannot be solved by the old methods of thinking and computing. There are a ton of different types of AI systems out there today but the prominent five are:
·         Expert Systems
·         Neural Networks
·         Genetic Algorithms
·         Intelligent Agents
·         Virtual Reality
Expert systems are the computerized advisory programs that can imitate reasoning processes that humans are born with. They assist in solving difficult problems when you write essay for me. They can include a knowledge base that contains various accumulated experience and a set of rules that assist with applying the knowledge base to each situation. These systems are the most common these days because they fill the gap when real human experts are difficult to find, retain, or are too expensive. Neural networks are a category of AI that attempts to emulate the way a human brain things. The key word is attempts because no amount of artificial intelligence will be able to replicate the human brain. These networks work to analyze large amounts of information in order to establish patterns as well as characteristics when the logic or rules are unknown in different situations. These networks are mostly used in banks and financial institutions. They are used to spot anomalies or peculiarities in bank accounts and credit cards.
Genetic algorithms are a form of AI system that can mimic the evolutionary process to generate better solutions to a problem. While this mathematically seems feasible it is still not a for sure way to solve a problem or come up with a solution in order to create a new design for a business. The only reason this AI system is used is because it can evaluate solutions more thoroughly and faster than a human can. For instance, a telephone company or a company that runs fiber optic cables such as Frontier will use the genetic algorithms to determine the configuration of the fiber-optic cable. Intelligent agents are special-purpose knowledge-based information systems that can accomplish a specific task on behalf of the user. An example of this would be a knowledge-base that help desk agents use to assist with fixing an issue that comes across their desk.
Virtual reality is the last of the five AI systems used today and it is a computer-simulated environment that can be real or imaginary. This is probably the most used today especially to have employers work from home or set up a virtual training system instead of with books and paper. It allows people to connect together using a computer to train in a virtual classroom or employees to connect virtually to their work to complete their jobs.
There are some of the five AI systems used today that I think are extremely useful for businesses such as Virtual Reality mainly because it does save on cost expenses. I think certain types of robots are also useful to businesses because they can help save the company save time and cost again for example in a hospital a courier robot that delivers information from one party to another is necessary because the healthcare employees such as nurses and doctors are very busy and may not always have time to get patient file or x-ray from one place to another. A robot that can do this makes sense because then it allows the nurses and doctors to do what they do best which is to heal people. A robot would also be useful in certain types of fires because they can withstand a greater amount of damage then a human can.
Despite the usefulness of the AI systems, to think that they can replace a human is far more damaging to a business mainly because while these AI systems can be more thorough they can also fail and at that point they would have to have a human to fix the failures. This then will end up costing the business in the long run. Businesses need to determine wisely whether they will make use of a certain type of Artificial Intelligent system or if they will spend their money on someone that can get the job done. No one can deny that an AI system is useful especially in certain areas that they are used in but for someone to say that an AI system can completely replace a human when it comes to decision making would be speaking falsely. AI systems can for sure be invaluable in the long run.
Citation Information
Daisy Rowley. "Artificial Intelligence - a Miracle or a Threat.docx" Journal of Artificial Intelligence Research (2019)
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